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521                    <p class="p-riski profile-name">Noa Lubin</p>
522                    <p class="p-riski">VP AI Laboratory, National AI Directorate</p>
523      
524              <p class="p-riski profile-description">
525          AI leader, social entrepreneur, lecturer and space enthusiast. I am the VP of the AI Laboratory at the National AI Directorate and I am interested in any do-good AI. I also love public speaking and teaching AI. I previously worked at: NASA, Amazon, Fido, Diagnostic Robotics, Elbit and IAI. I completed a Master&#039;s degree in Computer Science at Bar-Ilan University with an NLP thesis and a Bachelor&#039;s degree in Electrical Engineering at the Technion. 
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532      <p class="p-riski profile-description">
533        AI leader, social entrepreneur, lecturer and space enthusiast. I am the VP of the AI Laboratory at the National AI Directorate and I am interested in any do-good AI. I also love public speaking and teaching AI. I previously worked at: NASA, Amazon, Fido, Diagnostic Robotics, Elbit and IAI. I completed a Master&#039;s degree in Computer Science at Bar-Ilan University with an NLP thesis and a Bachelor&#039;s degree in Electrical Engineering at the Technion. 
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561    <div class="profile-name-wrap">
562                    <p class="p-riski profile-name">Yonatan Dolan</p>
563                    <p class="p-riski">Solutions Architect, ClickHouse</p>
564      
565              <p class="p-riski profile-description">
566          Formerly led AWS Big Data &amp; Analytics business development in Israel. Today, I work hands-on with customers to design scalable, high-performance analytics architectures and turn complex data requirements into production-ready solutions.
567Public speaker with experience in talks at Meetups, AWS summit, DataTLV and other.
568        </p>
569          </div>
570
571  </div>
572
573      <div class="profile-description-wrap desktop-hide tablet-hide">
574      <p class="p-riski profile-description">
575        Formerly led AWS Big Data &amp; Analytics business development in Israel. Today, I work hands-on with customers to design scalable, high-performance analytics architectures and turn complex data requirements into production-ready solutions.
576Public speaker with experience in talks at Meetups, AWS summit, DataTLV and other.
577      </p>
578    </div>
579  </div>
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585              <a class="linkedin-icon" href="https://www.linkedin.com/in/efrat-garber-aran-476b94119" target="_blank" rel="noopener">
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604    <div class="profile-name-wrap">
605                    <p class="p-riski profile-name">Efrat Aran</p>
606                    <p class="p-riski">Head of Data, OurRitual</p>
607      
608              <p class="p-riski profile-description">
609          Efrat Aran leads the data team at OurRitual, a startup building a platform for couples therapy.
610Before joining OurRitual, Efrat was a Product Data Scientist at AI21 Labs, where she helped shape data-driven decisions around large language models and generative AI. Prior to that, she led one of the Product Analyst team at Lightricks for three years. Her journey into tech began at PayPal, where she worked as a fraud analyst.
611        </p>
612          </div>
613
614  </div>
615
616      <div class="profile-description-wrap desktop-hide tablet-hide">
617      <p class="p-riski profile-description">
618        Efrat Aran leads the data team at OurRitual, a startup building a platform for couples therapy.
619Before joining OurRitual, Efrat was a Product Data Scientist at AI21 Labs, where she helped shape data-driven decisions around large language models and generative AI. Prior to that, she led one of the Product Analyst team at Lightricks for three years. Her journey into tech began at PayPal, where she worked as a fraud analyst.
620      </p>
621    </div>
622  </div>
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647    <div class="profile-name-wrap">
648                    <p class="p-riski profile-name">Amit Bendor</p>
649                    <p class="p-riski">Head of AI &amp; Data Science, Unity</p>
650      
651              <p class="p-riski profile-description">
652          Amit Ben Dor is Head of AI and ML at Unity (Aura), with a track record as an entrepreneur and CTO at several companies. He hosts the podcast &quot;Osim Tochna&quot; (&quot;Making Software&quot;), which has won &quot;Podcast of the Year&quot; four times, and lectures on AI in Israel and around the world.
653        </p>
654          </div>
655
656  </div>
657
658      <div class="profile-description-wrap desktop-hide tablet-hide">
659      <p class="p-riski profile-description">
660        Amit Ben Dor is Head of AI and ML at Unity (Aura), with a track record as an entrepreneur and CTO at several companies. He hosts the podcast &quot;Osim Tochna&quot; (&quot;Making Software&quot;), which has won &quot;Podcast of the Year&quot; four times, and lectures on AI in Israel and around the world.
661      </p>
662    </div>
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688    <div class="profile-name-wrap">
689                    <p class="p-riski profile-name">Sofie Zilberman</p>
690                    <p class="p-riski">Solutions Architect, Databricks</p>
691      
692              <p class="p-riski profile-description">
693          I design and optimize real-time data pipelines using Apache Flink, Kafka and Apache Iceberg, building fast, reliable, and scalable systems for streaming and streaming analytics. With experience in both streaming and batch processing, I focus on making data workflows efficient, observable, and high-performing. I enjoy solving complex challenges in large-scale data processing, always looking for ways to push the boundaries of performance and reliability. Passionate about Data Lakehouse technologies, I enjoy sharing knowledge through talks, hands-on sessions, and discussions on streaming architectures and real-time analytics frameworks.
694        </p>
695          </div>
696
697  </div>
698
699      <div class="profile-description-wrap desktop-hide tablet-hide">
700      <p class="p-riski profile-description">
701        I design and optimize real-time data pipelines using Apache Flink, Kafka and Apache Iceberg, building fast, reliable, and scalable systems for streaming and streaming analytics. With experience in both streaming and batch processing, I focus on making data workflows efficient, observable, and high-performing. I enjoy solving complex challenges in large-scale data processing, always looking for ways to push the boundaries of performance and reliability. Passionate about Data Lakehouse technologies, I enjoy sharing knowledge through talks, hands-on sessions, and discussions on streaming architectures and real-time analytics frameworks.
702      </p>
703    </div>
704  </div>
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729    <div class="profile-name-wrap">
730                    <p class="p-riski profile-name">Dotan Mor</p>
731                    <p class="p-riski">Staff Data Platform Engineer, Riskified</p>
732      
733              <p class="p-riski profile-description">
734          Staff Data Engineer at Riskified with two decades of experience in data engineering and architecture. Specializes in scaling robust big data systems and helping teams adopt modern data methodologies to solve complex technical challenges.
735        </p>
736          </div>
737
738  </div>
739
740      <div class="profile-description-wrap desktop-hide tablet-hide">
741      <p class="p-riski profile-description">
742        Staff Data Engineer at Riskified with two decades of experience in data engineering and architecture. Specializes in scaling robust big data systems and helping teams adopt modern data methodologies to solve complex technical challenges.
743      </p>
744    </div>
745  </div>
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770    <div class="profile-name-wrap">
771                    <p class="p-riski profile-name">Alon Agmon</p>
772                    <p class="p-riski">R&amp;D Director, Sheba Medical Center</p>
773      
774              <p class="p-riski profile-description">
775          Alon is an R&amp;D director at the AI Center at Sheba Medical Center, where he leads teams building an agentic operating system for healthcare AI and clinical workflows. He spent the last few years in data engineering and AI — and almost two decades handling exceptions. Intrigued by distributed systems, big data, and AI data architecture, and occasionally contributing to open source.
776        </p>
777          </div>
778
779  </div>
780
781      <div class="profile-description-wrap desktop-hide tablet-hide">
782      <p class="p-riski profile-description">
783        Alon is an R&amp;D director at the AI Center at Sheba Medical Center, where he leads teams building an agentic operating system for healthcare AI and clinical workflows. He spent the last few years in data engineering and AI — and almost two decades handling exceptions. Intrigued by distributed systems, big data, and AI data architecture, and occasionally contributing to open source.
784      </p>
785    </div>
786  </div>
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811    <div class="profile-name-wrap">
812                    <p class="p-riski profile-name">Noa Radin</p>
813                    <p class="p-riski">Staff Data Scientist, HoneyBook</p>
814      
815              <p class="p-riski profile-description">
816          Noa Radin is a Data Scientist at HoneyBook, where she works on improving user onboarding and product experience. Prior to that, she led a data science team at ThetaRay, designing anomaly detection solutions for global banks and fintechs. Noa holds an M.Sc. in Data Science and Engineering from Ben-Gurion University. 
817        </p>
818          </div>
819
820  </div>
821
822      <div class="profile-description-wrap desktop-hide tablet-hide">
823      <p class="p-riski profile-description">
824        Noa Radin is a Data Scientist at HoneyBook, where she works on improving user onboarding and product experience. Prior to that, she led a data science team at ThetaRay, designing anomaly detection solutions for global banks and fintechs. Noa holds an M.Sc. in Data Science and Engineering from Ben-Gurion University. 
825      </p>
826    </div>
827  </div>
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852    <div class="profile-name-wrap">
853                    <p class="p-riski profile-name">Omer Ginosar</p>
854                    <p class="p-riski">Data Engineering Lead, Sweet Security</p>
855      
856              <p class="p-riski profile-description">
857          I&#039;m a data engineering leader who has spent the last decade building and scaling data platforms in fast-moving companies.
858
859As Head of Data at Wiz, I owned the company-wide data function through the hyper-growth that led to its $32B Google acquisition, scaling it to serve 2,500+ customers across the entire company.
860
861Today I lead data engineering at Sweet Security, a runtime CNAPP and AI-security startup.
862Earlier, at Wix, I was a founding member of the Data Engineering guild and built a customer-facing embedded analytics platform used in one of Wix&#039;s products.
863
864My focus has stayed constant: making data accessible, trustworthy, and impactful, and building teams and platforms that outlast any single tool or trend.
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866          </div>
867
868  </div>
869
870      <div class="profile-description-wrap desktop-hide tablet-hide">
871      <p class="p-riski profile-description">
872        I&#039;m a data engineering leader who has spent the last decade building and scaling data platforms in fast-moving companies.
873
874As Head of Data at Wiz, I owned the company-wide data function through the hyper-growth that led to its $32B Google acquisition, scaling it to serve 2,500+ customers across the entire company.
875
876Today I lead data engineering at Sweet Security, a runtime CNAPP and AI-security startup.
877Earlier, at Wix, I was a founding member of the Data Engineering guild and built a customer-facing embedded analytics platform used in one of Wix&#039;s products.
878
879My focus has stayed constant: making data accessible, trustworthy, and impactful, and building teams and platforms that outlast any single tool or trend.
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907    <div class="profile-name-wrap">
908                    <p class="p-riski profile-name">Mica Rubinson, PhD</p>
909                    <p class="p-riski">AI &amp; Data Science Manager, Navina</p>
910      
911              <p class="p-riski profile-description">
912          Mica Rubinson is the AI &amp; Data Science Manager at Navina, where she leads the development of AI systems that help physicians extract clinical insights from unstructured medical records.
913
914Prior to Navina, Mica led algorithm development at Augury, building AI solutions for industrial diagnostics. She holds a Ph.D. in Physics and Neuroscience from the Weizmann Institute of Science and is an active contributor to the data science community through ongoing mentorship and by co-organizing the DataNights program for data science managers.
915        </p>
916          </div>
917
918  </div>
919
920      <div class="profile-description-wrap desktop-hide tablet-hide">
921      <p class="p-riski profile-description">
922        Mica Rubinson is the AI &amp; Data Science Manager at Navina, where she leads the development of AI systems that help physicians extract clinical insights from unstructured medical records.
923
924Prior to Navina, Mica led algorithm development at Augury, building AI solutions for industrial diagnostics. She holds a Ph.D. in Physics and Neuroscience from the Weizmann Institute of Science and is an active contributor to the data science community through ongoing mentorship and by co-organizing the DataNights program for data science managers.
925      </p>
926    </div>
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952    <div class="profile-name-wrap">
953                    <p class="p-riski profile-name">Stav Grinboim</p>
954                    <p class="p-riski">Head of Data Analytics, Sola Security</p>
955      
956              <p class="p-riski profile-description">
957          Stav Grinboim is the Head of Data Analytics at Sola Security, a fast-growing B2B cybersecurity SaaS company. Operating as a lean data team of one, she pioneered the use of multi agent AI networks to architect, build, and deploy a complete production data platform in under five months. Her full stack infrastructure includes a Snowflake warehouse, multiple AWS Lambda ETL streams, an internal analytics portal behind Okta SSO, and Elsa, a production-grade AI data assistant serving the entire organization. An analyst by training rather than a software engineer, Stav champions the strategic shift from writing repetitive queries to designing organizational semantics and managing autonomous agentic ecosystems.
958        </p>
959          </div>
960
961  </div>
962
963      <div class="profile-description-wrap desktop-hide tablet-hide">
964      <p class="p-riski profile-description">
965        Stav Grinboim is the Head of Data Analytics at Sola Security, a fast-growing B2B cybersecurity SaaS company. Operating as a lean data team of one, she pioneered the use of multi agent AI networks to architect, build, and deploy a complete production data platform in under five months. Her full stack infrastructure includes a Snowflake warehouse, multiple AWS Lambda ETL streams, an internal analytics portal behind Okta SSO, and Elsa, a production-grade AI data assistant serving the entire organization. An analyst by training rather than a software engineer, Stav champions the strategic shift from writing repetitive queries to designing organizational semantics and managing autonomous agentic ecosystems.
966      </p>
967    </div>
968  </div>
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993    <div class="profile-name-wrap">
994                    <p class="p-riski profile-name">Itamar Frenkel</p>
995                    <p class="p-riski">Data Science Manager, NVIDIA</p>
996      
997              <p class="p-riski profile-description">
998          Itamar Frenkel is a Data Science manager at NVIDIA, based in Yokneam, Israel, driving AI-powered solutions for hardware engineering and manufacturing. With expertise in machine learning and system engineering, he leads a team pushing the boundaries of AI to improve decision-making and production quality. Previously at Mellanox Technologies (acquired by NVIDIA in 2020), Itamar holds 3 U.S. patents and has been recognized with multiple awards, including NTECH 2024 Best Poster and first-place wins at both NVIDIA and Mellanox hackathons. A University of Haifa graduate, he speaks at industry conferences (INCOSE IL 2024, GTC 2024) and is passionate about building innovative teams and advancing AI in enterprise. He actively recruits top talent and contributes to the data science community.
999        </p>
1000          </div>
1001
1002  </div>
1003
1004      <div class="profile-description-wrap desktop-hide tablet-hide">
1005      <p class="p-riski profile-description">
1006        Itamar Frenkel is a Data Science manager at NVIDIA, based in Yokneam, Israel, driving AI-powered solutions for hardware engineering and manufacturing. With expertise in machine learning and system engineering, he leads a team pushing the boundaries of AI to improve decision-making and production quality. Previously at Mellanox Technologies (acquired by NVIDIA in 2020), Itamar holds 3 U.S. patents and has been recognized with multiple awards, including NTECH 2024 Best Poster and first-place wins at both NVIDIA and Mellanox hackathons. A University of Haifa graduate, he speaks at industry conferences (INCOSE IL 2024, GTC 2024) and is passionate about building innovative teams and advancing AI in enterprise. He actively recruits top talent and contributes to the data science community.
1007      </p>
1008    </div>
1009  </div>
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1034    <div class="profile-name-wrap">
1035                    <p class="p-riski profile-name">Ayala Adler</p>
1036                    <p class="p-riski">Head of Analytics &amp; BI, Zencity</p>
1037      
1038              <p class="p-riski profile-description">
1039          Programming since I was 16.
1040Co-founded a successful social business in the periphery.
1041Leading the analytics &amp; BI org at Zencity. Created the company&#039;s north star metric and led a full refactoring of the data tech stack and data modelling.
1042
1043Community organizer at DykesWhoTech IL, an LGBT women&#039;s community.
1044        </p>
1045          </div>
1046
1047  </div>
1048
1049      <div class="profile-description-wrap desktop-hide tablet-hide">
1050      <p class="p-riski profile-description">
1051        Programming since I was 16.
1052Co-founded a successful social business in the periphery.
1053Leading the analytics &amp; BI org at Zencity. Created the company&#039;s north star metric and led a full refactoring of the data tech stack and data modelling.
1054
1055Community organizer at DykesWhoTech IL, an LGBT women&#039;s community.
1056      </p>
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1083    <div class="profile-name-wrap">
1084                    <p class="p-riski profile-name">Itay Vegh</p>
1085                    <p class="p-riski">Senior Data Scientist, Planck</p>
1086      
1087              <p class="p-riski profile-description">
1088          Itay Vegh is a Senior Data Scientist at Planck (now part of Applied Systems), where he designs and deploys GenAI-powered solutions that reshape commercial-insurance underwriting worldwide. His data journey began in the Israel Defense Forces’ elite Unit 8200, then advanced through roles as a Senior Quantitative Researcher at WorldQuant and a founding data scientist at Loops. Itay holds a B.Sc. in Physics and Computer Science (with distinction) from Tel Aviv University and is passionate about translating cutting-edge research into business impact.
1089        </p>
1090          </div>
1091
1092  </div>
1093
1094      <div class="profile-description-wrap desktop-hide tablet-hide">
1095      <p class="p-riski profile-description">
1096        Itay Vegh is a Senior Data Scientist at Planck (now part of Applied Systems), where he designs and deploys GenAI-powered solutions that reshape commercial-insurance underwriting worldwide. His data journey began in the Israel Defense Forces’ elite Unit 8200, then advanced through roles as a Senior Quantitative Researcher at WorldQuant and a founding data scientist at Loops. Itay holds a B.Sc. in Physics and Computer Science (with distinction) from Tel Aviv University and is passionate about translating cutting-edge research into business impact.
1097      </p>
1098    </div>
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1124    <div class="profile-name-wrap">
1125                    <p class="p-riski profile-name">Reut Vilek</p>
1126                    <p class="p-riski">VP R&amp;D and Product, Plurai</p>
1127      
1128              <p class="p-riski profile-description">
1129          I lead R&amp;D and Product at Plurai, where we build infrastructure for agent simulation, evaluation and optimization. Before that I was CTO at Rupert, building predictive signals and agentic workflows, and led engineering and product at Nexar, where we built a digital twin of the world powered by computer vision. Throughout, I&#039;ve lived in the overlap between AI, engineering, and product — the one translating between what&#039;s technically possible, what&#039;s buildable, and what people actually need. What drives me is simplifying the complex: taming hard technical problems on one side, and making things genuinely clear for people on the other.
1130        </p>
1131          </div>
1132
1133  </div>
1134
1135      <div class="profile-description-wrap desktop-hide tablet-hide">
1136      <p class="p-riski profile-description">
1137        I lead R&amp;D and Product at Plurai, where we build infrastructure for agent simulation, evaluation and optimization. Before that I was CTO at Rupert, building predictive signals and agentic workflows, and led engineering and product at Nexar, where we built a digital twin of the world powered by computer vision. Throughout, I&#039;ve lived in the overlap between AI, engineering, and product — the one translating between what&#039;s technically possible, what&#039;s buildable, and what people actually need. What drives me is simplifying the complex: taming hard technical problems on one side, and making things genuinely clear for people on the other.
1138      </p>
1139    </div>
1140  </div>
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1165    <div class="profile-name-wrap">
1166                    <p class="p-riski profile-name">David Ohayon</p>
1167                    <p class="p-riski">Sr. Solutions Architect, AWS</p>
1168      
1169              <p class="p-riski profile-description">
1170          I&#039;m a Senior Solutions Architect at Amazon Web Services (AWS), helping customers design cloud-native architectures across data, analytics, and AI/ML. Before AWS, I led engineering groups at Microsoft as a Principal Engineering Group Manager on the Defender XDR platform, and served as VP R&amp;D at a cybersecurity startup. With 20+ years of experience spanning cybersecurity, cloud, and engineering leadership - starting from the IDF - I am most passionate regarding working with people, and about technology, good combination of both is optimal, I bring a hands-on perspective on leveraging data and cloud to drive real business impact.
1171        </p>
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1173
1174  </div>
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1176      <div class="profile-description-wrap desktop-hide tablet-hide">
1177      <p class="p-riski profile-description">
1178        I&#039;m a Senior Solutions Architect at Amazon Web Services (AWS), helping customers design cloud-native architectures across data, analytics, and AI/ML. Before AWS, I led engineering groups at Microsoft as a Principal Engineering Group Manager on the Defender XDR platform, and served as VP R&amp;D at a cybersecurity startup. With 20+ years of experience spanning cybersecurity, cloud, and engineering leadership - starting from the IDF - I am most passionate regarding working with people, and about technology, good combination of both is optimal, I bring a hands-on perspective on leveraging data and cloud to drive real business impact.
1179      </p>
1180    </div>
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1206    <div class="profile-name-wrap">
1207                    <p class="p-riski profile-name">Guy Korland, PhD</p>
1208                    <p class="p-riski">CEO &amp; Co-Founder, FalkorDB</p>
1209      
1210              <p class="p-riski profile-description">
1211          Guy Korland, PhD in Computer Science from TAU (Tel Aviv University), is the CEO and Co-founder of FalkorDB, where he builds a powerful Graph Database to power Generative AI applications. With a career spanning more than 20 years of experience in the database and software engineering industry, including a previous role as SVP, CTO of Incubation at Redis, Guy’s well-rounded profile brings a balance of R&amp;D, business, and user experience to tech conferences. He aims to make the crowd think beyond the fluff by discussing the good, the bad, and the ugly of the industry.
1212        </p>
1213          </div>
1214
1215  </div>
1216
1217      <div class="profile-description-wrap desktop-hide tablet-hide">
1218      <p class="p-riski profile-description">
1219        Guy Korland, PhD in Computer Science from TAU (Tel Aviv University), is the CEO and Co-founder of FalkorDB, where he builds a powerful Graph Database to power Generative AI applications. With a career spanning more than 20 years of experience in the database and software engineering industry, including a previous role as SVP, CTO of Incubation at Redis, Guy’s well-rounded profile brings a balance of R&amp;D, business, and user experience to tech conferences. He aims to make the crowd think beyond the fluff by discussing the good, the bad, and the ugly of the industry.
1220      </p>
1221    </div>
1222  </div>
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1247    <div class="profile-name-wrap">
1248                    <p class="p-riski profile-name">Chen Fradkin</p>
1249                    <p class="p-riski">Data Team Lead, Twine Security</p>
1250      
1251              <p class="p-riski profile-description">
1252          Chen Fradkin is Data Team Lead at Twine Security, where she joined as a founding engineer and built the data platform behind Twine&#039;s AI Digital Employees. Before Twine, she spent five years at Claroty as Data Lead and Security Researcher, and started her career as a software engineer and architect in the IDF. Her work spans algorithms R&amp;D, data and analytics engineering, AI engineering, and security research. She holds a B.Sc. in Computer Science from the Open University of Israel.
1253        </p>
1254          </div>
1255
1256  </div>
1257
1258      <div class="profile-description-wrap desktop-hide tablet-hide">
1259      <p class="p-riski profile-description">
1260        Chen Fradkin is Data Team Lead at Twine Security, where she joined as a founding engineer and built the data platform behind Twine&#039;s AI Digital Employees. Before Twine, she spent five years at Claroty as Data Lead and Security Researcher, and started her career as a software engineer and architect in the IDF. Her work spans algorithms R&amp;D, data and analytics engineering, AI engineering, and security research. She holds a B.Sc. in Computer Science from the Open University of Israel.
1261      </p>
1262    </div>
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1288    <div class="profile-name-wrap">
1289                    <p class="p-riski profile-name">Eli Shemesh</p>
1290                    <p class="p-riski">MLOps Architect, Palo Alto Networks</p>
1291      
1292              <p class="p-riski profile-description">
1293          I am a Sr. Principal MLOps Architect at Palo Alto Networks, with over 20 years of experience across technology, cybersecurity, cloud, and DevOps.
1294For more than 10 years, I have focused on designing scalable, reliable, and secure cloud platforms, DevOps and MLOps solutions, and automated pipelines, with a strong focus on AWS, Python, and modern software engineering practices.
1295        </p>
1296          </div>
1297
1298  </div>
1299
1300      <div class="profile-description-wrap desktop-hide tablet-hide">
1301      <p class="p-riski profile-description">
1302        I am a Sr. Principal MLOps Architect at Palo Alto Networks, with over 20 years of experience across technology, cybersecurity, cloud, and DevOps.
1303For more than 10 years, I have focused on designing scalable, reliable, and secure cloud platforms, DevOps and MLOps solutions, and automated pipelines, with a strong focus on AWS, Python, and modern software engineering practices.
1304      </p>
1305    </div>
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1331    <div class="profile-name-wrap">
1332                    <p class="p-riski profile-name">Liat Iusim</p>
1333                    <p class="p-riski">Solutions Architect, AWS</p>
1334      
1335              <p class="p-riski profile-description">
1336          Liat Iusim is a Solutions Architect at AWS, specializing in streaming and real-time analytics. With a background as a Tech Lead and Data Engineer, Liat brings hands-on experience in designing and building highly scalable, distributed data systems. She is passionate about helping organizations harness the power of real-time data, leveraging technologies such as Apache Kafka, Apache Flink, and OpenSearch to solve complex data challenges at scale.
1337        </p>
1338          </div>
1339
1340  </div>
1341
1342      <div class="profile-description-wrap desktop-hide tablet-hide">
1343      <p class="p-riski profile-description">
1344        Liat Iusim is a Solutions Architect at AWS, specializing in streaming and real-time analytics. With a background as a Tech Lead and Data Engineer, Liat brings hands-on experience in designing and building highly scalable, distributed data systems. She is passionate about helping organizations harness the power of real-time data, leveraging technologies such as Apache Kafka, Apache Flink, and OpenSearch to solve complex data challenges at scale.
1345      </p>
1346    </div>
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1372    <div class="profile-name-wrap">
1373                    <p class="p-riski profile-name">Naveh Talmon Chvaicer</p>
1374                    <p class="p-riski">Data Researcher, Island</p>
1375      
1376              <p class="p-riski profile-description">
1377          Naveh Talmon Chvaicer is a Data Researcher at Island, where he delivers data-driven insights and constructs AI solutions for customers and internal teams. Previously a Cyber Security Analyst in the IDF’s Unit 8200, his work involved driving operational advances based on data-backed research, risk assessments and automation of workflows. His current and previous hands-on work with risk scoring, classification models, datasets and self-validating AI pipelines directly inform his talk on the implementation of SLMs in classification tasks.
1378        </p>
1379          </div>
1380
1381  </div>
1382
1383      <div class="profile-description-wrap desktop-hide tablet-hide">
1384      <p class="p-riski profile-description">
1385        Naveh Talmon Chvaicer is a Data Researcher at Island, where he delivers data-driven insights and constructs AI solutions for customers and internal teams. Previously a Cyber Security Analyst in the IDF’s Unit 8200, his work involved driving operational advances based on data-backed research, risk assessments and automation of workflows. His current and previous hands-on work with risk scoring, classification models, datasets and self-validating AI pipelines directly inform his talk on the implementation of SLMs in classification tasks.
1386      </p>
1387    </div>
1388  </div>
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1405                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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1413    <div class="profile-name-wrap">
1414                    <p class="p-riski profile-name">Raz Tamir</p>
1415                    <p class="p-riski">Senior Data Scientist, monday.com</p>
1416      
1417              <p class="p-riski profile-description">
1418          Raz Tamir is a Senior Data Scientist at monday.com, with previous experience leading data science and AI teams. His work spans the full data science lifecycle: translating business goals into ML, AI, and agentic systems, from research and modeling to deployment, monitoring, and product impact. Raz has built production AI systems across multiple domains, including deep learning for computer vision, time series, agentic workflows, and applied ML. He is passionate about helping teams build AI products with clear evaluation, practical feedback loops, and production-grade discipline
1419        </p>
1420          </div>
1421
1422  </div>
1423
1424      <div class="profile-description-wrap desktop-hide tablet-hide">
1425      <p class="p-riski profile-description">
1426        Raz Tamir is a Senior Data Scientist at monday.com, with previous experience leading data science and AI teams. His work spans the full data science lifecycle: translating business goals into ML, AI, and agentic systems, from research and modeling to deployment, monitoring, and product impact. Raz has built production AI systems across multiple domains, including deep learning for computer vision, time series, agentic workflows, and applied ML. He is passionate about helping teams build AI products with clear evaluation, practical feedback loops, and production-grade discipline
1427      </p>
1428    </div>
1429  </div>
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1435              <a class="linkedin-icon" href="https://www.linkedin.com/in/sapir-hirshberg-55660394/" target="_blank" rel="noopener">
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1446                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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1454    <div class="profile-name-wrap">
1455                    <p class="p-riski profile-name">Sapir Hirshberg</p>
1456                    <p class="p-riski">Senior Data Product Manager, Wix</p>
1457      
1458              <p class="p-riski profile-description">
1459          Sapir is a Data Product Manager at Wix, responsible for data management and governance across the company’s data platform. She works on the products and workflows that help teams find trusted data, understand how it connects, investigate issues, and keep the warehouse healthy as it scales increasingly through AI agents and skill-based tooling. She’s focused on turning complex platform capabilities into practical, self-serve experiences that save time and keep work accurate.
1460        </p>
1461          </div>
1462
1463  </div>
1464
1465      <div class="profile-description-wrap desktop-hide tablet-hide">
1466      <p class="p-riski profile-description">
1467        Sapir is a Data Product Manager at Wix, responsible for data management and governance across the company’s data platform. She works on the products and workflows that help teams find trusted data, understand how it connects, investigate issues, and keep the warehouse healthy as it scales increasingly through AI agents and skill-based tooling. She’s focused on turning complex platform capabilities into practical, self-serve experiences that save time and keep work accurate.
1468      </p>
1469    </div>
1470  </div>
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1495    <div class="profile-name-wrap">
1496                    <p class="p-riski profile-name">Noa Shahar</p>
1497                    <p class="p-riski">Applied Scientist, Microsoft</p>
1498      
1499              <p class="p-riski profile-description">
1500          Noa Shahar is an Applied Scientist at Microsoft, working on AI systems that power real-world educational products. Her work focuses on taking machine learning and AI methods from experimentation to production, with an emphasis on building systems that work reliably at scale.
1501She holds a B.Sc. in Computer Science from the Technion and an M.Sc. in Computer Science from the Weizmann Institute of Science.
1502        </p>
1503          </div>
1504
1505  </div>
1506
1507      <div class="profile-description-wrap desktop-hide tablet-hide">
1508      <p class="p-riski profile-description">
1509        Noa Shahar is an Applied Scientist at Microsoft, working on AI systems that power real-world educational products. Her work focuses on taking machine learning and AI methods from experimentation to production, with an emphasis on building systems that work reliably at scale.
1510She holds a B.Sc. in Computer Science from the Technion and an M.Sc. in Computer Science from the Weizmann Institute of Science.
1511      </p>
1512    </div>
1513  </div>
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1519              <a class="linkedin-icon" href="https://www.linkedin.com/inyuval-belfer/" target="_blank" rel="noopener">
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1538    <div class="profile-name-wrap">
1539                    <p class="p-riski profile-name">Yuval Belfer</p>
1540                    <p class="p-riski">Sr. AI Developer Advocate, AI21 Labs</p>
1541      
1542              <p class="p-riski profile-description">
1543          Yuval is a Senior Developer Advocate at AI21 Labs, where he helps engineers go from &quot;it works in the demo&quot; to &quot;it works in production.&quot; He hosts the YAAP podcast (Yet Another AI Podcast) and teaches applied GenAI on various programs. His work spans RAG, fine-tuning, agents, and evaluation (or Yuval-uation, if you&#039;re nasty).
1544        </p>
1545          </div>
1546
1547  </div>
1548
1549      <div class="profile-description-wrap desktop-hide tablet-hide">
1550      <p class="p-riski profile-description">
1551        Yuval is a Senior Developer Advocate at AI21 Labs, where he helps engineers go from &quot;it works in the demo&quot; to &quot;it works in production.&quot; He hosts the YAAP podcast (Yet Another AI Podcast) and teaches applied GenAI on various programs. His work spans RAG, fine-tuning, agents, and evaluation (or Yuval-uation, if you&#039;re nasty).
1552      </p>
1553    </div>
1554  </div>
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1560              <a class="linkedin-icon" href="https://www.linkedin.com/in/oshrat-ben-avi-zabludovitz-09384739/" target="_blank" rel="noopener">
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1579    <div class="profile-name-wrap">
1580                    <p class="p-riski profile-name">Oshrat Ben-Avi Zabludovitz</p>
1581                    <p class="p-riski">Country Manager Israel, UAE, Cyprus &amp; Greece, Aerospike</p>
1582      
1583              <p class="p-riski profile-description">
1584          As the Israel Country Manager at Aerospike, Oshrat Ben-Avi Zabludovitz leads one of the company&#039;s most strategic markets. She brings more than 15 years of experience in the technology industry, with a strong background spanning enterprise technology, business development, and executive leadership.
1585
1586Throughout her career, Oshrat has held senior leadership positions, including Senior Director, Digital Natives Israel and VP of Sales, where she worked closely with enterprise organizations, te
1586chnology companies, and startups to bridge business needs with innovative technology solutions.
1587
1588She began her career in the Israel Defense Forces&#039; C4I Corps, building a solid technical foundation before moving into product management, business development, and technology sales leadership. Her combination of deep technical understanding and commercial expertise enables her to help organizations design innovative solutions while building long-term partnerships based on trust and measurable business outcomes.
1589
1590What drives Oshrat most is her passion for people, creating meaningful value for customers, and achieving ambitious goals through collaboration. She is also deeply committed to fostering technology communities and championing women in leadership across the technology and sales industries.
1591        </p>
1592          </div>
1593
1594  </div>
1595
1596      <div class="profile-description-wrap desktop-hide tablet-hide">
1597      <p class="p-riski profile-description">
1598        As the Israel Country Manager at Aerospike, Oshrat Ben-Avi Zabludovitz leads one of the company&#039;s most strategic markets. She brings more than 15 years of experience in the technology industry, with a strong background spanning enterprise technology, business development, and executive leadership.
1599
1600Throughout her career, Oshrat has held senior leadership positions, including Senior Director, Digital Natives Israel and VP of Sales, where she worked closely with enterprise organizations, te
1600chnology companies, and startups to bridge business needs with innovative technology solutions.
1601
1602She began her career in the Israel Defense Forces&#039; C4I Corps, building a solid technical foundation before moving into product management, business development, and technology sales leadership. Her combination of deep technical understanding and commercial expertise enables her to help organizations design innovative solutions while building long-term partnerships based on trust and measurable business outcomes.
1603
1604What drives Oshrat most is her passion for people, creating meaningful value for customers, and achieving ambitious goals through collaboration. She is also deeply committed to fostering technology communities and championing women in leadership across the technology and sales industries.
1605      </p>
1606    </div>
1607  </div>
1608              <div class="profile-wrap  vertical open-slider-popup mobile-toggle"  open-popup=#block_2039b49e4f481a010547dfc6df7ed10f data-index=26 >
1609  
1610  <div class="profile-content  mobile-toggle ">
1611    <div class="profile-img-wrap">
1612      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Shahar_Yarnitzky-e1786101923202.jpg" alt="" loading="lazy" width="110" height="110" />
1613          </div>
1614    <div class="profile-name-wrap">
1615                    <p class="p-riski profile-name">Shahar Yarnitzky</p>
1616                    <p class="p-riski">Software Engineer, EON</p>
1617      
1618              <p class="p-riski profile-description">
1619          Software engineer with background in HPC, algorithms, and backend development. My day-to-day involves lowering costs for pipelines and conveying those improvements to customers. Currently handling data engineering at EON with an emphasis on optimization.
1620        </p>
1621          </div>
1622
1623  </div>
1624
1625      <div class="profile-description-wrap desktop-hide tablet-hide">
1626      <p class="p-riski profile-description">
1627        Software engineer with background in HPC, algorithms, and backend development. My day-to-day involves lowering costs for pipelines and conveying those improvements to customers. Currently handling data engineering at EON with an emphasis on optimization.
1628      </p>
1629    </div>
1630  </div>
1631              <div class="profile-wrap  vertical open-slider-popup mobile-toggle"  open-popup=#block_2039b49e4f481a010547dfc6df7ed10f data-index=27 >
1632  
1633  <div class="profile-content  mobile-toggle ">
1634    <div class="profile-img-wrap">
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1636              <a class="linkedin-icon" href="https://www.linkedin.com/in/ira-sharlin/" target="_blank" rel="noopener">
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1655    <div class="profile-name-wrap">
1656                    <p class="p-riski profile-name">Ira Sharlin</p>
1657                    <p class="p-riski">Director of Product, Memcyco</p>
1658      
1659              <p class="p-riski profile-description">
1660          Ira Sharlin is an AI-native product leader and Director of Product at Memcyco, specializing in the fraud, cyber, and account takeover domains. She works hands-on with machine learning, agentic workflows, Databricks, and Splunk to connect fragmented risk signals and translate them into measurable decisions. Her career spans fraud systems, identity, payments, chargebacks, and financial trading. Ira previously served as Staff PM in QuickBooks Fintech Risk at Intuit, Head of Fraud Systems and Partnerships at 888/evoke, and in leadership roles at Justt and banking trading systems. She is also the co-founder of PM UP, a community of more than 600 product leaders.
1661        </p>
1662          </div>
1663
1664  </div>
1665
1666      <div class="profile-description-wrap desktop-hide tablet-hide">
1667      <p class="p-riski profile-description">
1668        Ira Sharlin is an AI-native product leader and Director of Product at Memcyco, specializing in the fraud, cyber, and account takeover domains. She works hands-on with machine learning, agentic workflows, Databricks, and Splunk to connect fragmented risk signals and translate them into measurable decisions. Her career spans fraud systems, identity, payments, chargebacks, and financial trading. Ira previously served as Staff PM in QuickBooks Fintech Risk at Intuit, Head of Fraud Systems and Partnerships at 888/evoke, and in leadership roles at Justt and banking trading systems. She is also the co-founder of PM UP, a community of more than 600 product leaders.
1669      </p>
1670    </div>
1671  </div>
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1677              <a class="linkedin-icon" href="https://www.linkedin.com/in/ilya-gulman-b415363b/" target="_blank" rel="noopener">
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1696    <div class="profile-name-wrap">
1697                    <p class="p-riski profile-name">Ilya Gulman</p>
1698                    <p class="p-riski">CTO, Twingo</p>
1699      
1700              <p class="p-riski profile-description">
1701          Ilya Gulman is a data architecture expert with more than 20 years of experience in big data. Over the years, he has worked alongside several dozen companies—from startups and unicorns to large enterprises—to solve complex architecture and data challenges. Curious by nature and enthusiastic about new technologies, Ilya now focuses on bringing AI and agentic systems together with large-scale data platforms.
1702        </p>
1703          </div>
1704
1705  </div>
1706
1707      <div class="profile-description-wrap desktop-hide tablet-hide">
1708      <p class="p-riski profile-description">
1709        Ilya Gulman is a data architecture expert with more than 20 years of experience in big data. Over the years, he has worked alongside several dozen companies—from startups and unicorns to large enterprises—to solve complex architecture and data challenges. Curious by nature and enthusiastic about new technologies, Ilya now focuses on bringing AI and agentic systems together with large-scale data platforms.
1710      </p>
1711    </div>
1712  </div>
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1737    <div class="profile-name-wrap">
1738                    <p class="p-riski profile-name">Mor Hasson</p>
1739                    <p class="p-riski">Senior Product Analyst, Cyera</p>
1740      
1741              <p class="p-riski profile-description">
1742          Over the past year at Cyera, I have been working at the intersection of data and AI product development. As the Product Analytics Lead for Cy, Cyera&#039;s conversational AI assistant, I built the product analytics stack from scratch- utilizing LLMs to measure an LLM product where traditional analytics fall short. My role includes developing automated classifiers for session categorization and outcome detection, building quality monitoring pipelines, and conducting deep customer research that directly shapes the product roadmap.
1743
1744Before Cyera, I was Head of Data for Simply Draw at Simply (formerly JoyTunes), where I led data and helped build and scale the product from inception to millions of users. Prior to that, I held data roles at Wix and Check Point.
1745        </p>
1746          </div>
1747
1748  </div>
1749
1750      <div class="profile-description-wrap desktop-hide tablet-hide">
1751      <p class="p-riski profile-description">
1752        Over the past year at Cyera, I have been working at the intersection of data and AI product development. As the Product Analytics Lead for Cy, Cyera&#039;s conversational AI assistant, I built the product analytics stack from scratch- utilizing LLMs to measure an LLM product where traditional analytics fall short. My role includes developing automated classifiers for session categorization and outcome detection, building quality monitoring pipelines, and conducting deep customer research that directly shapes the product roadmap.
1753
1754Before Cyera, I was Head of Data for Simply Draw at Simply (formerly JoyTunes), where I led data and helped build and scale the product from inception to millions of users. Prior to that, I held data roles at Wix and Check Point.
1755      </p>
1756    </div>
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1774                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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1782    <div class="profile-name-wrap">
1783                    <p class="p-riski profile-name">Yonathan Guttel</p>
1784                    <p class="p-riski">Staff Data Scientist, HoneyBook</p>
1785      
1786              <p class="p-riski profile-description">
1787          Yonathan Guttel is a Data Scientist at HoneyBook, where he works on churn prediction, revenue projection, and LLM evaluation. Prior to that, he held data science roles at Lightricks, Nutrino (acquired by Medtronic) and Gong.io. Yonathan holds a B.Sc. and M.Sc. in Biology and completed doctoral research in the field. 
1788        </p>
1789          </div>
1790
1791  </div>
1792
1793      <div class="profile-description-wrap desktop-hide tablet-hide">
1794      <p class="p-riski profile-description">
1795        Yonathan Guttel is a Data Scientist at HoneyBook, where he works on churn prediction, revenue projection, and LLM evaluation. Prior to that, he held data science roles at Lightricks, Nutrino (acquired by Medtronic) and Gong.io. Yonathan holds a B.Sc. and M.Sc. in Biology and completed doctoral research in the field. 
1796      </p>
1797    </div>
1798  </div>
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1823    <div class="profile-name-wrap">
1824                    <p class="p-riski profile-name">Dina Bavli</p>
1825                    <p class="p-riski">Data Science Specialist, Amdocs</p>
1826      
1827              <p class="p-riski profile-description">
1828          Dina Bavli is a Data Science Specialist and Agentic AI Platform &amp; Adoption Lead at Amdocs, where she works on scaling Agentic AI across engineering organizations and helping teams move from experimentation to production.
1829
1830With 7+ years of experience across ML, NLP, Generative AI, and LLM systems, Dina combines hands-on AI engineering with platform design, debugging, and developer enablement. She has supported 12+ engineering teams in designing, deploying, and operating 30+ AI agents.
1831
1832Dina is an AWSuperstar, international speaker, lecturer, mentor, and technical writer. She is passionate about making complex AI concepts practical, understandable, and actually usable by engineering teams.
1833        </p>
1834          </div>
1835
1836  </div>
1837
1838      <div class="profile-description-wrap desktop-hide tablet-hide">
1839      <p class="p-riski profile-description">
1840        Dina Bavli is a Data Science Specialist and Agentic AI Platform &amp; Adoption Lead at Amdocs, where she works on scaling Agentic AI across engineering organizations and helping teams move from experimentation to production.
1841
1842With 7+ years of experience across ML, NLP, Generative AI, and LLM systems, Dina combines hands-on AI engineering with platform design, debugging, and developer enablement. She has supported 12+ engineering teams in designing, deploying, and operating 30+ AI agents.
1843
1844Dina is an AWSuperstar, international speaker, lecturer, mentor, and technical writer. She is passionate about making complex AI concepts practical, understandable, and actually usable by engineering teams.
1845      </p>
1846    </div>
1847  </div>
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1849  
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1864                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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1872    <div class="profile-name-wrap">
1873                    <p class="p-riski profile-name">Ori Kelsi</p>
1874                    <p class="p-riski">VP Data, Qlik</p>
1875      
1876              <p class="p-riski profile-description">
1877          I lead S.P. Data (Qlik Israel) data integration strategy and my focus is on helping enterprises turn complex, legacy data environments into infrastructure that supports modern AI initiatives. Over the past year, that&#039;s led me to the question of how enterprise data pipelines can feed live, structured context to LLMs — connecting databases, warehouses, and file systems to vector engines through automated chunking, embedding, and real-time synchronization.
1878        </p>
1879          </div>
1880
1881  </div>
1882
1883      <div class="profile-description-wrap desktop-hide tablet-hide">
1884      <p class="p-riski profile-description">
1885        I lead S.P. Data (Qlik Israel) data integration strategy and my focus is on helping enterprises turn complex, legacy data environments into infrastructure that supports modern AI initiatives. Over the past year, that&#039;s led me to the question of how enterprise data pipelines can feed live, structured context to LLMs — connecting databases, warehouses, and file systems to vector engines through automated chunking, embedding, and real-time synchronization.
1886      </p>
1887    </div>
1888  </div>
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1905                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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1912          </div>
1913    <div class="profile-name-wrap">
1914                    <p class="p-riski profile-name">Noa Baron</p>
1915                    <p class="p-riski">Data Engineering Team Lead, Cato Networks</p>
1916      
1917              <p class="p-riski profile-description">
1918          Noa Baron - Staff Engineer at Cato Networks with a big passion for infrastru
1918cture.
1919Over the past 5 years she has been working with data and helping data teams to successfully handle the growing amount of data collected from the Cato Cloud. Her work focuses on building the new Cato Data Platform, to ensure it supports the organization growing demand for data in scale and use cases with efficient and cost-effective solutions, all while keeping up with Cato’s growth and achieving outstanding performance.
1920        </p>
1921          </div>
1922
1923  </div>
1924
1925      <div class="profile-description-wrap desktop-hide tablet-hide">
1926      <p class="p-riski profile-description">
1927        Noa Baron - Staff Engineer at Cato Networks with a big passion for infrastructure.
1928Over the past 5 years she has been working with data and helping data teams to successfully handle the growing amount of data collected from the Cato Cloud. Her work focuses on building the new Cato Data Platform, to ensure it supports the organization growing demand for data in scale and use cases with efficient and cost-effective solutions, all while keeping up with Cato’s growth and achieving outstanding performance.
1929      </p>
1930    </div>
1931  </div>
1932              <div class="profile-wrap  vertical open-slider-popup mobile-toggle"  open-popup=#block_2039b49e4f481a010547dfc6df7ed10f data-index=34 >
1933  
1934  <div class="profile-content  mobile-toggle ">
1935    <div class="profile-img-wrap">
1936      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/10/Jasmine.png" alt="" loading="lazy" width="110" height="110" />
1937              <a class="linkedin-icon" href="Senior Data Scientist, Google" target="_blank">
1938                      <?xml version="1.0" encoding="UTF-8"?>
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1947                        <path d="M4.78014118,6.58525934 L4.78014118,18.8613556 L4.6192,18.8613556 C3.37265098,18.8613556 2.12610196,18.8583844 0.880298039,18.8650786 C0.732023529,18.8658123 0.698494118,18.8212449 0.698494118,18.6808575 C0.702219608,14.7091575 0.702219608,10.7374574 0.698494118,6.7657574 C0.698494118,6.62388444 0.735003922,6.58154539 0.881043137,6.58227861 C2.12684706,6.58748771 3.37339608,6.58525934 4.6199451,6.58525934 L4.78014118,6.58525934 Z" id="Stroke-5"></path>
1948                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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1956    <div class="profile-name-wrap">
1957                    <p class="p-riski profile-name">Jasmine Herszage, PhD</p>
1958                    <p class="p-riski">Senior Data Scientist, Google</p>
1959      
1960              <p class="p-riski profile-description">
1961          Jasmine is a Senior Data Scientist in gTech Ads at Google, where she helps Israel’s largest tech companies develop and validate their own custom data science models to unlock business growth. She specializes in predictive Lifetime Value (pLTV) optimization, Bayesian Marketing Mix Modeling (MMM), and advanced causal methodologies. Jasmine holds a PhD in Neuroscience from Tel Aviv University and is passionate about translating advanced statistical architectures into high-impact business outcomes.
1962        </p>
1963          </div>
1964
1965  </div>
1966
1967      <div class="profile-description-wrap desktop-hide tablet-hide">
1968      <p class="p-riski profile-description">
1969        Jasmine is a Senior Data Scientist in gTech Ads at Google, where she helps Israel’s largest tech companies develop and validate their own custom data science models to unlock business growth. She specializes in predictive Lifetime Value (pLTV) optimization, Bayesian Marketing Mix Modeling (MMM), and advanced causal methodologies. Jasmine holds a PhD in Neuroscience from Tel Aviv University and is passionate about translating advanced statistical architectures into high-impact business outcomes.
1970      </p>
1971    </div>
1972  </div>
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1977      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Gil_Ben-Ami-e1786101999363.jpg" alt="" loading="lazy" width="110" height="110" />
1978              <a class="linkedin-icon" href="https://www.linkedin.com/in/gil-ben-ami/" target="_blank" rel="noopener">
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1989                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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1997    <div class="profile-name-wrap">
1998                    <p class="p-riski profile-name">Gil Ben-Ami</p>
1999                    <p class="p-riski">Data Scientist, Planck</p>
2000      
2001              <p class="p-riski profile-description">
2002          Gil Ben-Ami is a Data Scientist at Planck, an Applied Systems company, where he has spent the past 7 years - the last 4 in data science - growing from building models to building with agents.
2003He has led data science projects in classification, claims, and claim loss-ratio prediction, and developed predictive models that helped improve insurance risk assessment.
2004These days, Gil is all-in on LLM agents and agentic workflows, exploring what happens when a data scientist trades writing code for orchestrating a fleet of AI agents that can research, experiment, and evaluate on their own.
2005        </p>
2006          </div>
2007
2008  </div>
2009
2010      <div class="profile-description-wrap desktop-hide tablet-hide">
2011      <p class="p-riski profile-description">
2012        Gil Ben-Ami is a Data Scientist at Planck, an Applied Systems company, where he has spent the past 7 years - the last 4 in data science - growing from building models to building with agents.
2013He has led data science projects in classification, claims, and claim loss-ratio prediction, and developed predictive models that helped improve insurance risk assessment.
2014These days, Gil is all-in on LLM agents and agentic workflows, exploring what happens when a data scientist trades writing code for orchestrating a fleet of AI agents that can research, experiment, and evaluate on their own.
2015      </p>
2016    </div>
2017  </div>
2018              <div class="profile-wrap  vertical open-slider-popup mobile-toggle"  open-popup=#block_2039b49e4f481a010547dfc6df7ed10f data-index=36 >
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2042    <div class="profile-name-wrap">
2043                    <p class="p-riski profile-name">Avichay Marciano</p>
2044                    <p class="p-riski">Senior Solutions Architect, AWS</p>
2045      
2046              <p class="p-riski profile-description">
2047          Senior Analytics Specialist Solutions Architect at AWS, focused on streaming, batch processing, and database workloads, with 13 years of hands-on experience designing and building distributed data systems. Contributor to various OSS projects, including Apache Flink Agents.
2048        </p>
2049          </div>
2050
2051  </div>
2052
2053      <div class="profile-description-wrap desktop-hide tablet-hide">
2054      <p class="p-riski profile-description">
2055        Senior Analytics Specialist Solutions Architect at AWS, focused on streaming, batch processing, and database workloads, with 13 years of hands-on experience designing and building distributed data systems. Contributor to various OSS projects, including Apache Flink Agents.
2056      </p>
2057    </div>
2058  </div>
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2060  
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2064              <a class="linkedin-icon" href="https://www.linkedin.com/in/ben-hazan-24022a219/" target="_blank" rel="noopener">
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2075                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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2083    <div class="profile-name-wrap">
2084                    <p class="p-riski profile-name">Ben Hazan</p>
2085                    <p class="p-riski">Senior Solutions Engineer, Databricks</p>
2086      
2087              <p class="p-riski profile-description">
2088          Ben Hazan is a Senior Solutions Engineer at Databricks in Israel. He helps organizations modernize their data platforms and adopt the Lakehouse, with expertise in Spark, Delta Lake, Unity Catalog, MLflow, and AI/BI. Ben builds hands-on prototypes across the Databricks stack, including agentic copilots, MLOps solutions, and data-governance tools, and leads customer workshops on data engineering, GenAI, and cost optimization.
2089        </p>
2090          </div>
2091
2092  </div>
2093
2094      <div class="profile-description-wrap desktop-hide tablet-hide">
2095      <p class="p-riski profile-description">
2096        Ben Hazan is a Senior Solutions Engineer at Databricks in Israel. He helps organizations modernize their data platforms and adopt the Lakehouse, with expertise in Spark, Delta Lake, Unity Catalog, MLflow, and AI/BI. Ben builds hands-on prototypes across the Databricks stack, including agentic copilots, MLOps solutions, and data-governance tools, and leads customer workshops on data engineering, GenAI, and cost optimization.
2097      </p>
2098    </div>
2099  </div>
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2124    <div class="profile-name-wrap">
2125                    <p class="p-riski profile-name">Eden Fattal</p>
2126                    <p class="p-riski">Data Engineering Team Lead, Wix</p>
2127      
2128              <p class="p-riski profile-description">
2129          Eden is a Data Engineering Team Leader with over a decade of experience across the data industry, from hands-on analytics to data engineering leadership. Today, she leads a team in Wix’s Core Data Engineering Guild, working on data warehouse foundations, governance, and internal tooling that help data engineers build trusted data assets.
2130        </p>
2131          </div>
2132
2133  </div>
2134
2135      <div class="profile-description-wrap desktop-hide tablet-hide">
2136      <p class="p-riski profile-description">
2137        Eden is a Data Engineering Team Leader with over a decade of experience across the data industry, from hands-on analytics to data engineering leadership. Today, she leads a team in Wix’s Core Data Engineering Guild, working on data warehouse foundations, governance, and internal tooling that help data engineers build trusted data assets.
2138      </p>
2139    </div>
2140  </div>
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2165    <div class="profile-name-wrap">
2166                    <p class="p-riski profile-name">Matan Sarig</p>
2167                    <p class="p-riski">Senior Solutions Engineer, Snowflake </p>
2168      
2169              <p class="p-riski profile-description">
2170          Matan Sarig is a Senior Solutions Engineer at Snowflake with over a decade of experience in architecting and implementing robust data solutions. He&#039;s passionate about bridging complex data challenges with intuitive, real-world applications, leveraging his expertise in SQL, data analysis, and enterprise solution design to empower users.
2171        </p>
2172          </div>
2173
2174  </div>
2175
2176      <div class="profile-description-wrap desktop-hide tablet-hide">
2177      <p class="p-riski profile-description">
2178        Matan Sarig is a Senior Solutions Engineer at Snowflake with over a decade of experience in architecting and implementing robust data solutions. He&#039;s passionate about bridging complex data challenges with intuitive, real-world applications, leveraging his expertise in SQL, data analysis, and enterprise solution design to empower users.
2179      </p>
2180    </div>
2181  </div>
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2183  
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2206    <div class="profile-name-wrap">
2207                    <p class="p-riski profile-name">Or Shoham</p>
2208                    <p class="p-riski">Data Scientist, Product AI Lead, Palo Alto Networks</p>
2209      
2210              <p class="p-riski profile-description">
2211          Senior Staff Data Scientist at Palo Alto Networks, focusing on machine learning–driven cybersecurity solutions. He designs and builds production-grade systems combining classical machine learning and LLMs, from research to large-scale deployment in real-world security environments. His work focuses on data-driven approaches for threat detection, anomaly detection, and automation of security workflows. He holds an MSc in Data Science &amp; Machine Learning from Reichman University, specializing in NLP.
2212        </p>
2213          </div>
2214
2215  </div>
2216
2217      <div class="profile-description-wrap desktop-hide tablet-hide">
2218      <p class="p-riski profile-description">
2219        Senior Staff Data Scientist at Palo Alto Networks, focusing on machine learning–driven cybersecurity solutions. He designs and builds production-grade systems combining classical machine learning and LLMs, from research to large-scale deployment in real-world security environments. His work focuses on data-driven approaches for threat detection, anomaly detection, and automation of security workflows. He holds an MSc in Data Science &amp; Machine Learning from Reichman University, specializing in NLP.
2220      </p>
2221    </div>
2222  </div>
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2247    <div class="profile-name-wrap">
2248                    <p class="p-riski profile-name">Maya Malamud</p>
2249                    <p class="p-riski">Founder &amp; Healthcare AI Consultant, Malamud AI Advisory</p>
2250      
2251              <p class="p-riski profile-description">
2252          Maya Malamud is a Healthcare AI Consultant and the Founder of Malamud AI Advisory, specializing in trustworthy AI, clinical NLP, and cascading pipeline architecture for HealthTech startups.
2253
2254With over a decade in machine learning and data science, she spends her days making sure AI systems are production-ready, auditable, and reliable before they reach patients - and her research asks what happens when the training data itself is the problem.
2255        </p>
2256          </div>
2257
2258  </div>
2259
2260      <div class="profile-description-wrap desktop-hide tablet-hide">
2261      <p class="p-riski profile-description">
2262        Maya Malamud is a Healthcare AI Consultant and the Founder of Malamud AI Advisory, specializing in trustworthy AI, clinical NLP, and cascading pipeline architecture for HealthTech startups.
2263
2264With over a decade in machine learning and data science, she spends her days making sure AI systems are production-ready, auditable, and reliable before they reach patients - and her research asks what happens when the training data itself is the problem.
2265      </p>
2266    </div>
2267  </div>
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2292    <div class="profile-name-wrap">
2293                    <p class="p-riski profile-name">Liad Hazoot</p>
2294                    <p class="p-riski">Founder Engineering Team Lead, Matia</p>
2295      
2296              <p class="p-riski profile-description">
2297          I’m Liad Hazoot, a former professional national track &amp; field jumper and a team tead at Matia, with 10 years of experience in software and data engineering. I specialize in building DataOps platforms and production-grade data infrastructure, enabling reliable, high-scale ETL and reverse ETL workflows across modern data warehouses. I spend most of my time tackling the unglamorous but critical challenge of making data pipelines trustworthy, scalable, and resilient in production environments.
2298        </p>
2299          </div>
2300
2301  </div>
2302
2303      <div class="profile-description-wrap desktop-hide tablet-hide">
2304      <p class="p-riski profile-description">
2305        I’m Liad Hazoot, a former professional national track &amp; field jumper and a team tead at Matia, with 10 years of experience in software and data engineering. I specialize in building DataOps platforms and production-grade data infrastructure, enabling reliable, high-scale ETL and reverse ETL workflows across modern data warehouses. I spend most of my time tackling the unglamorous but critical challenge of making data pipelines trustworthy, scalable, and resilient in production environments.
2306      </p>
2307    </div>
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2333    <div class="profile-name-wrap">
2334                    <p class="p-riski profile-name">Guy Carmin</p>
2335                    <p class="p-riski">Director, EMEA Solution Architect, Aerospike</p>
2336      
2337              <p class="p-riski profile-description">
2338          Guy Carmin is a hiker, biker, metalhead, and Director of EMEA Solution Architecture at Aerospike, where he leads solution architecture and technical advisory activities across the EMEA region.
2339
2340Guy brings nearly 30 years of experience in the technology industry, spanning cloud, open source, big data, and NoSQL databases. In his role, he helps organizations design and implement business-critical data systems that operate in real time, at massive scale, and with uncompromising performance.
2341
2342He works closely with customers and partners throughout both the technical and business journey — from defining requirements and shaping architecture, through workshops and proofs of concept, to implementation and system expansion. He also leads technical pre-sales initiatives, develops competitive strategies, and supports the development of Solution Architecture teams across the region.
2343
2344At the heart of his work is the ability to connect complex business challenges with clear, practical, and scalable technology solutions. What drives him is turning complex technology into solutions that work in the real world, while sharing knowledge that helps people and organizations make better decisions.
2345
2346Guy believes in combining deep technical expertise, critical thinking, collaboration, and a genuine appreciation for people, while building long-term relationships based on trust, curiosity, and results.
2347        </p>
2348          </div>
2349
2350  </div>
2351
2352      <div class="profile-description-wrap desktop-hide tablet-hide">
2353      <p class="p-riski profile-description">
2354        Guy Carmin is a hiker, biker, metalhead, and Director of EMEA Solution Architecture at Aerospike, where he leads solution architecture and technical advisory activities across the EMEA region.
2355
2356Guy brings nearly 30 years of experience in the technology industry, spanning cloud, open source, big data, and NoSQL databases. In his role, he helps organizations design and implement business-critical data systems that operate in real time, at massive scale, and with uncompromising performance.
2357
2358He works closely with customers and partners throughout both the technical and business journey — from defining requirements and shaping architecture, through workshops and proofs of concept, to implementation and system expansion. He also leads technical pre-sales initiatives, develops competitive strategies, and supports the development of Solution Architecture teams across the region.
2359
2360At the heart of his work is the ability to connect complex business challenges with clear, practical, and scalable technology solutions. What drives him is turning complex technology into solutions that work in the real world, while sharing knowledge that helps people and organizations make better decisions.
2361
2362Guy believes in combining deep technical expertise, critical thinking, collaboration, and a genuine appreciation for people, while building long-term relationships based on trust, curiosity, and results.
2363      </p>
2364    </div>
2365  </div>
2366              <div class="profile-wrap  vertical open-slider-popup mobile-toggle"  open-popup=#block_2039b49e4f481a010547dfc6df7ed10f data-index=44 >
2367  
2368  <div class="profile-content  mobile-toggle ">
2369    <div class="profile-img-wrap">
2370      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Maya_Caspi_Schliesser-e1786102056512.png" alt="" loading="lazy" width="110" height="110" />
2371              <a class="linkedin-icon" href="https://www.linkedin.com/in/mayacaspi/" target="_blank" rel="noopener">
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2390    <div class="profile-name-wrap">
2391                    <p class="p-riski profile-name">Maya Schliesser</p>
2392                    <p class="p-riski">Data &amp; Measurement Specialist, Google</p>
2393      
2394              <p class="p-riski profile-description">
2395          I&#039;m a data person who came through an unusual door. I started out as a designer, became a Co-Founder and CMO of a startup, ran growth teams at Loops and Voyantis, led data technology at SWC Consulting, and somehow ended up at Google as a Data and Measurement Specialist, working with advertisers on the infrastru
2395cture that connects their data to the algorithms running their campaigns. Along the way I&#039;ve sat on every side of the measurement problem: the person building the pipelines, the person explaining why the numbers don&#039;t match, and the person who needs them to make a business decision by Thursday. 
2396        </p>
2397          </div>
2398
2399  </div>
2400
2401      <div class="profile-description-wrap desktop-hide tablet-hide">
2402      <p class="p-riski profile-description">
2403        I&#039;m a data person who came through an unusual door. I started out as a designer, became a Co-Founder and CMO of a startup, ran growth teams at Loops and Voyantis, led data technology at SWC Consulting, and somehow ended up at Google as a Data and Measurement Specialist, working with advertisers on the infrastructure that connects their data to the algorithms running their campaigns. Along the way I&#039;ve sat on every side of the measurement problem: the person building the pipelines, the person explaining why the numbers don&#039;t match, and the person who needs them to make a business decision by Thursday. 
2404      </p>
2405    </div>
2406  </div>
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2423                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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2431    <div class="profile-name-wrap">
2432                    <p class="p-riski profile-name">Orit Mansur</p>
2433                    <p class="p-riski">Director of Data Engineering, Riskified</p>
2434      
2435              <p class="p-riski profile-description">
2436          Orit is a Director of Data Engineeringat Riskified and has over 10 years of experience in the data industry.
2437As a data specialist, she is passionate about data, technology, business, and people. Her main expertise is in data modeling, analytics, and data visualization. She sees a big part in her role in mentoring and out-of-the-box thinking.
2438        </p>
2439          </div>
2440
2441  </div>
2442
2443      <div class="profile-description-wrap desktop-hide tablet-hide">
2444      <p class="p-riski profile-description">
2445        Orit is a Director of Data Engineeringat Riskified and has over 10 years of experience in the data industry.
2446As a data specialist, she is passionate about data, technology, business, and people. Her main expertise is in data modeling, analytics, and data visualization. She sees a big part in her role in mentoring and out-of-the-box thinking.
2447      </p>
2448    </div>
2449  </div>
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2452  <div class="profile-content  mobile-toggle ">
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2454      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Ben_Zagagy-e1786102078208.jpg" alt="" loading="lazy" width="110" height="110" />
2455              <a class="linkedin-icon" href="https://www.linkedin.com/in/ben-zagagy-03a45940/" target="_blank" rel="noopener">
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2466                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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2474    <div class="profile-name-wrap">
2475                    <p class="p-riski profile-name">Ben Zagagy</p>
2476                    <p class="p-riski">Fullstack Tech Lead, Regulus</p>
2477      
2478              <p class="p-riski profile-description">
2479          Today, I serve as a Fullstack Tech Lead at Regulus. Prior to this, I acted as a Solutions Architect and Tech Lead at Monday.com, and before that four years as a Tech Lead and Architect at Shutterfly. I bring 18 years of development experience, including three years as a hands-on team leader and four years as a software architect. I hold both a B.Sc. and an M.Sc. in Computer Science, and I have extensive experience building infrastructure and UI systems, with a deep understanding of diverse technologies and the full development lifecycle. I’m a forward-thinking, vision-driven professional with strong technical expertise, excellent communication skills, and a relentless drive to succeed.
2480        </p>
2481          </div>
2482
2483  </div>
2484
2485      <div class="profile-description-wrap desktop-hide tablet-hide">
2486      <p class="p-riski profile-description">
2487        Today, I serve as a Fullstack Tech Lead at Regulus. Prior to this, I acted as a Solutions Architect and Tech Lead at Monday.com, and before that four years as a Tech Lead and Architect at Shutterfly. I bring 18 years of development experience, including three years as a hands-on team leader and four years as a software architect. I hold both a B.Sc. and an M.Sc. in Computer Science, and I have extensive experience building infrastructure and UI systems, with a deep understanding of diverse technologies and the full development lifecycle. I’m a forward-thinking, vision-driven professional with strong technical expertise, excellent communication skills, and a relentless drive to succeed.
2488      </p>
2489    </div>
2490  </div>
2491              <div class="profile-wrap  vertical open-slider-popup mobile-toggle"  open-popup=#block_2039b49e4f481a010547dfc6df7ed10f data-index=47 >
2492  
2493  <div class="profile-content  mobile-toggle ">
2494    <div class="profile-img-wrap">
2495      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/איל-שהם-Qlik-Talend-Cloud-Expert.jpeg" alt="" loading="lazy" width="110" height="110" />
2496              <a class="linkedin-icon" href="https://www.linkedin.com/in/eyal-shoham-7082b8129/" target="_blank" rel="noopener">
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2515    <div class="profile-name-wrap">
2516                    <p class="p-riski profile-name">Eyal Shoham </p>
2517                    <p class="p-riski">Talend Expert, Qlik</p>
2518      
2519              <p class="p-riski profile-description">
2520          At S.P. Data, I lead cloud data initiatives and work as a solution architect, helping customers move from traditional on-prem environments to modern cloud platforms. A big part of that is making sure the data is not only migrated, but organized and prepared in a way that can support AI use cases later on. I’m also focused on automation around data integration and data warehouses, so less of the work depends on manual development and maintenance. That includes building repeatable pipelines, automating data movement and transformations, and making the warehouse easier to operate as the environment grows. For me, the AI part starts with getting the cloud and data foundation right first.
2521        </p>
2522          </div>
2523
2524  </div>
2525
2526      <div class="profile-description-wrap desktop-hide tablet-hide">
2527      <p class="p-riski profile-description">
2528        At S.P. Data, I lead cloud data initiatives and work as a solution architect, helping customers move from traditional on-prem environments to modern cloud platforms. A big part of that is making sure the data is not only migrated, but organized and prepared in a way that can support AI use cases later on. I’m also focused on automation around data integration and data warehouses, so less of the work depends on manual development and maintenance. That includes building repeatable pipelines, automating data movement and transformations, and making the warehouse easier to operate as the environment grows. For me, the AI part starts with getting the cloud and data foundation right first.
2529      </p>
2530    </div>
2531  </div>
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2537              <a class="linkedin-icon" href="https://www.linkedin.com/in/tal-avraham-ros/" target="_blank" rel="noopener">
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2556    <div class="profile-name-wrap">
2557                    <p class="p-riski profile-name">Tal Avraham</p>
2558                    <p class="p-riski">Senior Data Analyst, Grip Security</p>
2559      
2560              <p class="p-riski profile-description">
2561          Tal Avraham is an Industrial and Management Engineer (B.Sc., Ben-Gurion University) with over six years of experience in data analytics. After four years as a Data Analyst in Check Point&#039;s R&amp;D organization, she joined Grip Security, where she is now a Senior Data Analyst. In a startup environment, her role combines analytics and data engineering—from SQL and dbt modeling to product analysis, monitoring, and cross-functional collaboration. She enjoys bridging the gap between product, engineering, and analytics to build reliable data solutions for fast-moving teams.
2562        </p>
2563          </div>
2564
2565  </div>
2566
2567      <div class="profile-description-wrap desktop-hide tablet-hide">
2568      <p class="p-riski profile-description">
2569        Tal Avraham is an Industrial and Management Engineer (B.Sc., Ben-Gurion University) with over six years of experience in data analytics. After four years as a Data Analyst in Check Point&#039;s R&amp;D organization, she joined Grip Security, where she is now a Senior Data Analyst. In a startup environment, her role combines analytics and data engineering—from SQL and dbt modeling to product analysis, monitoring, and cross-functional collaboration. She enjoys bridging the gap between product, engineering, and analytics to build reliable data solutions for fast-moving teams.
2570      </p>
2571    </div>
2572  </div>
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2578              <a class="linkedin-icon" href="https://www.linkedin.com/in/tamir-shazman-9ba465194/" target="_blank" rel="noopener">
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2589                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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2597    <div class="profile-name-wrap">
2598                    <p class="p-riski profile-name">Tamir Shazman</p>
2599                    <p class="p-riski">Data Scientist, Fetcherr</p>
2600      
2601              <p class="p-riski profile-description">
2602          Tamir Shazman is a Data Scientist at Fetcherr building Large Market Models using deep learning to simulate market behavior. With a Master&#039;s in Data and Decision Sciences from the Technion, he specializes in reinforcement learning and applying advanced mathematics to real-world business challenges.
2603        </p>
2604          </div>
2605
2606  </div>
2607
2608      <div class="profile-description-wrap desktop-hide tablet-hide">
2609      <p class="p-riski profile-description">
2610        Tamir Shazman is a Data Scientist at Fetcherr building Large Market Models using deep learning to simulate market behavior. With a Master&#039;s in Data and Decision Sciences from the Technion, he specializes in reinforcement learning and applying advanced mathematics to real-world business challenges.
2611      </p>
2612    </div>
2613  </div>
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2619              <a class="linkedin-icon" href="https://www.linkedin.com/in/tomer-yaniv-b9aa726/" target="_blank" rel="noopener">
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2638    <div class="profile-name-wrap">
2639                    <p class="p-riski profile-name">Tomer Yaniv</p>
2640                    <p class="p-riski">Head of AI, SNF AI</p>
2641      
2642              <p class="p-riski profile-description">
2643          Tomer Yaniv is a Data Science leader combining hands-on engineering with strategic leadership. Having driven initiatives at companies including Playtika, Riskified, snfai, and others, his expertise spans classical machine learning, generative AI, mathematical optimization, and more. He specializes in translating advanced analytics into high-impact practical systems.
2644        </p>
2645          </div>
2646
2647  </div>
2648
2649      <div class="profile-description-wrap desktop-hide tablet-hide">
2650      <p class="p-riski profile-description">
2651        Tomer Yaniv is a Data Science leader combining hands-on engineering with strategic leadership. Having driven initiatives at companies including Playtika, Riskified, snfai, and others, his expertise spans classical machine learning, generative AI, mathematical optimization, and more. He specializes in translating advanced analytics into high-impact practical systems.
2652      </p>
2653    </div>
2654  </div>
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2657  <div class="profile-content  mobile-toggle ">
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2659      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Ronnie_Weinbach-e1786102141162.jpg" alt="" loading="lazy" width="110" height="110" />
2660              <a class="linkedin-icon" href="https://www.linkedin.com/in/ronnie-we/" target="_blank" rel="noopener">
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2679    <div class="profile-name-wrap">
2680                    <p class="p-riski profile-name">Ronnie Weinbach</p>
2681                    <p class="p-riski">Founding Data Analyst, Modus</p>
2682      
2683              <p class="p-riski profile-description">
2684          I am the Founding Data Analyst at Modus, where I focus on solving the &quot;context problem&quot; for AI data agents. I&#039;ve been a Data Analyst for the past 10 years, and I love turning messy data into insights and products. I&#039;m passionate about mentoring and improving both human and AI analysts. Outside of data, I&#039;m a passionate Chief Chocolate, Cake, &amp; Cookies Officer (CCCCO) and will gladly talk your ear off with the ultimate travel tips for Paris and Bologna.
2685        </p>
2686          </div>
2687
2688  </div>
2689
2690      <div class="profile-description-wrap desktop-hide tablet-hide">
2691      <p class="p-riski profile-description">
2692        I am the Founding Data Analyst at Modus, where I focus on solving the &quot;context problem&quot; for AI data agents. I&#039;ve been a Data Analyst for the past 10 years, and I love turning messy data into insights and products. I&#039;m passionate about mentoring and improving both human and AI analysts. Outside of data, I&#039;m a passionate Chief Chocolate, Cake, &amp; Cookies Officer (CCCCO) and will gladly talk your ear off with the ultimate travel tips for Paris and Bologna.
2693      </p>
2694    </div>
2695  </div>
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2701              <a class="linkedin-icon" href="https://www.linkedin.com/in/gilad-grushka-07943518/" target="_blank" rel="noopener">
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2720    <div class="profile-name-wrap">
2721                    <p class="p-riski profile-name">Gilad Grushka</p>
2722                    <p class="p-riski">Senior Software Engineer, Upriver</p>
2723      
2724              <p class="p-riski profile-description">
2725          I&#039;m a senior software engineer at Upriver Data where I design the AI Context Pipeline behind Upriver&#039;s Automatic Data Engineer solution. I have experience in creating complex data pipelines, constructing strategies for building and monitoring various data products and creating algorithms for data engineering root cause analysis. Prior to Upriver I spent 5 years at Monte Carlo Data I was a co-founder of a startup (Glean Labs) which created an automatic skill mapping solution for enterprises.
2726        </p>
2727          </div>
2728
2729  </div>
2730
2731      <div class="profile-description-wrap desktop-hide tablet-hide">
2732      <p class="p-riski profile-description">
2733        I&#039;m a senior software engineer at Upriver Data where I design the AI Context Pipeline behind Upriver&#039;s Automatic Data Engineer solution. I have experience in creating complex data pipelines, constructing strategies for building and monitoring various data products and creating algorithms for data engineering root cause analysis. Prior to Upriver I spent 5 years at Monte Carlo Data I was a co-founder of a startup (Glean Labs) which created an automatic skill mapping solution for enterprises.
2734      </p>
2735    </div>
2736  </div>
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2742              <a class="linkedin-icon" href="https://www.linkedin.com/in/dafna-friedman-139a6b102/" target="_blank" rel="noopener">
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2761    <div class="profile-name-wrap">
2762                    <p class="p-riski profile-name">Dafna Friedman</p>
2763                    <p class="p-riski">AI PM and Data Analyst, Arito</p>
2764      
2765              <p class="p-riski profile-description">
2766          I am an AI product manager and data analyst building agentic analytics products at Arito. For the past 15 years, I’ve used data to make sense of complex systems - from neuroscience research and fraud detection to algorithmic AdTech products at Taboola. These days, I’m fascinated by a new kind of complex system: AI agents, and by the challenges and opportunities they bring. I also mentor and led the AI Analytics group at TechGym.
2767        </p>
2768          </div>
2769
2770  </div>
2771
2772      <div class="profile-description-wrap desktop-hide tablet-hide">
2773      <p class="p-riski profile-description">
2774        I am an AI product manager and data analyst building agentic analytics products at Arito. For the past 15 years, I’ve used data to make sense of complex systems - from neuroscience research and fraud detection to algorithmic AdTech products at Taboola. These days, I’m fascinated by a new kind of complex system: AI agents, and by the challenges and opportunities they bring. I also mentor and led the AI Analytics group at TechGym.
2775      </p>
2776    </div>
2777  </div>
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2783              <a class="linkedin-icon" href="https://www.linkedin.com/in/maor-grushko/" target="_blank" rel="noopener">
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2801          </div>
2802    <div class="profile-name-wrap">
2803                    <p class="p-riski profile-name">Maor Grushko</p>
2804                    <p class="p-riski">AI Backend Tech Lead, FINQ</p>
2805      
2806              <p class="p-riski profile-description">
2807          As AI Backend Tech Lead at FINQ, I focus on turning AI ideas into reliable production systems, from training pipelines to scalable backend infrastructure. I enjoy solving practical engineering challenges, optimizing algorithms, sharing knowledge through technical lectures and TechGym, and helping teams build better AI products.
2808        </p>
2809          </div>
2810
2811  </div>
2812
2813      <div class="profile-description-wrap desktop-hide tablet-hide">
2814      <p class="p-riski profile-description">
2815        As AI Backend Tech Lead at FINQ, I focus on turning AI ideas into reliable production systems, from training pipelines to scalable backend infrastructure. I enjoy solving practical engineering challenges, optimizing algorithms, sharing knowledge through technical lectures and TechGym, and helping teams build better AI products.
2816      </p>
2817    </div>
2818  </div>
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2843    <div class="profile-name-wrap">
2844                    <p class="p-riski profile-name">Hila Sagges</p>
2845                    <p class="p-riski">Senior Director, Generative Data Lab, Teads</p>
2846      
2847              <p class="p-riski profile-description">
2848          Hila Sagges is Senior Director of the Generative Data Lab at Teads, an AI-first unit rethinking how organizations generate, deliver, and act on data as the driver of the business. She built the Insights Hub - a production data product that delivers analytical insights across the organization, from the C-suite to operational teams, on a cadence. Coming from an analytics background, building the product analytics group at Outbrain and leading both product and business demand-side analytics, she works at the seam where data, product, and engineering meet, turning deep analysis processes that don&#039;t scale into products that do.
2849        </p>
2850          </div>
2851
2852  </div>
2853
2854      <div class="profile-description-wrap desktop-hide tablet-hide">
2855      <p class="p-riski profile-description">
2856        Hila Sagges is Senior Director of the Generative Data Lab at Teads, an AI-first unit rethinking how organizations generate, deliver, and act on data as the driver of the business. She built the Insights Hub - a production data product that delivers analytical insights across the organization, from the C-suite to operational teams, on a cadence. Coming from an analytics background, building the product analytics group at Outbrain and leading both product and business demand-side analytics, she works at the seam where data, product, and engineering meet, turning deep analysis processes that don&#039;t scale into products that do.
2857      </p>
2858    </div>
2859  </div>
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2884    <div class="profile-name-wrap">
2885                    <p class="p-riski profile-name">Guy Raz</p>
2886                    <p class="p-riski">Senior Data Product Manager, Boomi</p>
2887      
2888              <p class="p-riski profile-description">
2889          I am a Senior Product Manager at Boomi, working on data integration products. I have spent the last several years building the layers behind data products: the connectors that bring data in, the engines that make analytics work, and the performance capabilities that make them usable at scale. At Sisense, I worked on analytics platform capabilities including connectors, analytical engine work and multi-tenancy. At Starburst, I focused on query performance and acceleration for large-scale analytics. Today at Boomi, I work on data integration products that help organizations connect and manage data across systems.
2890        </p>
2891          </div>
2892
2893  </div>
2894
2895      <div class="profile-description-wrap desktop-hide tablet-hide">
2896      <p class="p-riski profile-description">
2897        I am a Senior Product Manager at Boomi, working on data integration products. I have spent the last several years building the layers behind data products: the connectors that bring data in, the engines that make analytics work, and the performance capabilities that make them usable at scale. At Sisense, I worked on analytics platform capabilities including connectors, analytical engine work and multi-tenancy. At Starburst, I focused on query performance and acceleration for large-scale analytics. Today at Boomi, I work on data integration products that help organizations connect and manage data across systems.
2898      </p>
2899    </div>
2900  </div>
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2917                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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2925    <div class="profile-name-wrap">
2926                    <p class="p-riski profile-name">Shiran Golan</p>
2927                    <p class="p-riski">Machine Learning Scientist, Booking.com</p>
2928      
2929              <p class="p-riski profile-description">
2930          Shiran Golan is a Senior Machine Learning Scientist at Booking.com, specializing in NLP and LLM applications. She has over 10 years of experience in machine learning and AI across multiple industries, with expertise in building practical AI systems for real-world applications at scale.
2931        </p>
2932          </div>
2933
2934  </div>
2935
2936      <div class="profile-description-wrap desktop-hide tablet-hide">
2937      <p class="p-riski profile-description">
2938        Shiran Golan is a Senior Machine Learning Scientist at Booking.com, specializing in NLP and LLM applications. She has over 10 years of experience in machine learning and AI across multiple industries, with expertise in building practical AI systems for real-world applications at scale.
2939      </p>
2940    </div>
2941  </div>
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2947              <a class="linkedin-icon" href="https://www.linkedin.com/in/haim-moscovici/" target="_blank" rel="noopener">
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2966    <div class="profile-name-wrap">
2967                    <p class="p-riski profile-name">Haim Moscovici</p>
2968                    <p class="p-riski">Data Analytics Tech Lead, WSC Sports</p>
2969      
2970              <p class="p-riski profile-description">
2971          I Hold a B.Sc. in Industrial Engineering and Management from Ben-Gurion University.
2972I Began my career at Taboola, working for 2.5 years in product-related roles.
2973For the past 4.5 years, I have been at WSC Sports, and led the company’s Direct-to-Fan product line from its inception to strategic growth.
2974        </p>
2975          </div>
2976
2977  </div>
2978
2979      <div class="profile-description-wrap desktop-hide tablet-hide">
2980      <p class="p-riski profile-description">
2981        I Hold a B.Sc. in Industrial Engineering and Management from Ben-Gurion University.
2982I Began my career at Taboola, working for 2.5 years in product-related roles.
2983For the past 4.5 years, I have been at WSC Sports, and led the company’s Direct-to-Fan product line from its inception to strategic growth.
2984      </p>
2985    </div>
2986  </div>
2987          </div>
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3028    <div class="profile-name-wrap">
3029                    <p class="p-riski profile-name">Noa Lubin</p>
3030                    <p class="p-riski">VP AI Laboratory, National AI Directorate</p>
3031      
3032              <p class="p-riski profile-description">
3033          AI leader, social entrepreneur, lecturer and space enthusiast. I am the VP of the AI Laboratory at the National AI Directorate and I am interested in any do-good AI. I also love public speaking and teaching AI. I previously worked at: NASA, Amazon, Fido, Diagnostic Robotics, Elbit and IAI. I completed a Master&#039;s degree in Computer Science at Bar-Ilan University with an NLP thesis and a Bachelor&#039;s degree in Electrical Engineering at the Technion. 
3034        </p>
3035          </div>
3036
3037  </div>
3038
3039      <div class="profile-description-wrap desktop-hide tablet-hide">
3040      <p class="p-riski profile-description">
3041        AI leader, social entrepreneur, lecturer and space enthusiast. I am the VP of the AI Laboratory at the National AI Directorate and I am interested in any do-good AI. I also love public speaking and teaching AI. I previously worked at: NASA, Amazon, Fido, Diagnostic Robotics, Elbit and IAI. I completed a Master&#039;s degree in Computer Science at Bar-Ilan University with an NLP thesis and a Bachelor&#039;s degree in Electrical Engineering at the Technion. 
3042      </p>
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3073    <div class="profile-name-wrap">
3074                    <p class="p-riski profile-name">Yonatan Dolan</p>
3075                    <p class="p-riski">Solutions Architect, ClickHouse</p>
3076      
3077              <p class="p-riski profile-description">
3078          Formerly led AWS Big Data &amp; Analytics business development in Israel. Today, I work hands-on with customers to design scalable, high-performance analytics architectures and turn complex data requirements into production-ready solutions.
3079Public speaker with experience in talks at Meetups, AWS summit, DataTLV and other.
3080        </p>
3081          </div>
3082
3083  </div>
3084
3085      <div class="profile-description-wrap desktop-hide tablet-hide">
3086      <p class="p-riski profile-description">
3087        Formerly led AWS Big Data &amp; Analytics business development in Israel. Today, I work hands-on with customers to design scalable, high-performance analytics architectures and turn complex data requirements into production-ready solutions.
3088Public speaker with experience in talks at Meetups, AWS summit, DataTLV and other.
3089      </p>
3090    </div>
3091  </div>
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3096                              <div class="profile-wrap  bio mobile-toggle"   data-index=2 >
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3100      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Efrat_Aran-e1786100976993.jpg" alt="" loading="lazy" width="110" height="110" />
3101              <a class="linkedin-icon" href="https://www.linkedin.com/in/efrat-garber-aran-476b94119" target="_blank" rel="noopener">
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3120    <div class="profile-name-wrap">
3121                    <p class="p-riski profile-name">Efrat Aran</p>
3122                    <p class="p-riski">Head of Data, OurRitual</p>
3123      
3124              <p class="p-riski profile-description">
3125          Efrat Aran leads the data team at OurRitual, a startup building a platform for couples therapy.
3126Before joining OurRitual, Efrat was a Product Data Scientist at AI21 Labs, where she helped shape data-driven decisions around large language models and generative AI. Prior to that, she led one of the Product Analyst team at Lightricks for three years. Her journey into tech began at PayPal, where she worked as a fraud analyst.
3127        </p>
3128          </div>
3129
3130  </div>
3131
3132      <div class="profile-description-wrap desktop-hide tablet-hide">
3133      <p class="p-riski profile-description">
3134        Efrat Aran leads the data team at OurRitual, a startup building a platform for couples therapy.
3135Before joining OurRitual, Efrat was a Product Data Scientist at AI21 Labs, where she helped shape data-driven decisions around large language models and generative AI. Prior to that, she led one of the Product Analyst team at Lightricks for three years. Her journey into tech began at PayPal, where she worked as a fraud analyst.
3136      </p>
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3159                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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3166          </div>
3167    <div class="profile-name-wrap">
3168                    <p class="p-riski profile-name">Amit Bendor</p>
3169                    <p class="p-riski">Head of AI &amp; Data Science, Unity</p>
3170      
3171              <p class="p-riski profile-description">
3172          Amit Ben Dor is Head of AI and ML at Unity (Aura), with a track record as an entrepreneur and CTO at several companies. He hosts the podcast &quot;Osim Tochna&quot; (&quot;Making Software&quot;), which has won &quot;Podcast of the Year&quot; four times, and lectures on AI in Israel and around the world.
3173        </p>
3174          </div>
3175
3176  </div>
3177
3178      <div class="profile-description-wrap desktop-hide tablet-hide">
3179      <p class="p-riski profile-description">
3180        Amit Ben Dor is Head of AI and ML at Unity (Aura), with a track record as an entrepreneur and CTO at several companies. He hosts the podcast &quot;Osim Tochna&quot; (&quot;Making Software&quot;), which has won &quot;Podcast of the Year&quot; four times, and lectures on AI in Israel and around the world.
3181      </p>
3182    </div>
3183  </div>
3184        </div>
3185      </div>
3186          <div class="leadership-slide swiper-slide">
3187        <div class="leadership-slide-wrap">
3188                              <div class="profile-wrap  bio mobile-toggle"   data-index=4 >
3189  
3190  <div class="profile-content  mobile-toggle ">
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3192      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2025/06/Sofie_Zilberman.png.png" alt="" loading="lazy" width="110" height="110" />
3193              <a class="linkedin-icon" href="https://www.linkedin.com/in/sofie-zilberman/" target="_blank" rel="noopener">
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3204                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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3211          </div>
3212    <div class="profile-name-wrap">
3213                    <p class="p-riski profile-name">Sofie Zilberman</p>
3214                    <p class="p-riski">Solutions Architect, Databricks</p>
3215      
3216              <p class="p-riski profile-description">
3217          I design and optimize real-time data pipelines using Apache Flink, Kafka and Apache Iceberg, building fast, reliable, and scalable systems for streaming and streaming analytics. With experience in both streaming and batch processing, I focus on making data workflows efficient, observable, and high-performing. I enjoy solving complex challenges in large-scale data processing, always looking for ways to push the boundaries of performance and reliability. Passionate about Data Lakehouse technologies, I enjoy sharing knowledge through talks, hands-on sessions, and discussions on streaming architectures and real-time analytics frameworks.
3218        </p>
3219          </div>
3220
3221  </div>
3222
3223      <div class="profile-description-wrap desktop-hide tablet-hide">
3224      <p class="p-riski profile-description">
3225        I design and optimize real-time data pipelines using Apache Flink, Kafka and Apache Iceberg, building fast, reliable, and scalable systems for streaming and streaming analytics. With experience in both streaming and batch processing, I focus on making data workflows efficient, observable, and high-performing. I enjoy solving complex challenges in large-scale data processing, always looking for ways to push the boundaries of performance and reliability. Passionate about Data Lakehouse technologies, I enjoy sharing knowledge through talks, hands-on sessions, and discussions on streaming architectures and real-time analytics frameworks.
3226      </p>
3227    </div>
3228  </div>
3229        </div>
3230      </div>
3231          <div class="leadership-slide swiper-slide">
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3233                              <div class="profile-wrap  bio mobile-toggle"   data-index=5 >
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3238              <a class="linkedin-icon" href="https://www.linkedin.com/in/dotan-mor-0849815" target="_blank" rel="noopener">
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3248                        <path d="M4.78014118,6.58525934 L4.78014118,18.8613556 L4.6192,18.8613556 C3.37265098,18.8613556 2.12610196,18.8583844 0.880298039,18.8650786 C0.732023529,18.8658123 0.698494118,18.8212449 0.698494118,18.6808575 C0.702219608,14.7091575 0.702219608,10.7374574 0.698494118,6.7657574 C0.698494118,6.62388444 0.735003922,6.58154539 0.881043137,6.58227861 C2.12684706,6.58748771 3.37339608,6.58525934 4.6199451,6.58525934 L4.78014118,6.58525934 Z" id="Stroke-5"></path>
3249                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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3256          </div>
3257    <div class="profile-name-wrap">
3258                    <p class="p-riski profile-name">Dotan Mor</p>
3259                    <p class="p-riski">Staff Data Platform Engineer, Riskified</p>
3260      
3261              <p class="p-riski profile-description">
3262          Staff Data Engineer at Riskified with two decades of experience in data engineering and architecture. Specializes in scaling robust big data systems and helping teams adopt modern data methodologies to solve complex technical challenges.
3263        </p>
3264          </div>
3265
3266  </div>
3267
3268      <div class="profile-description-wrap desktop-hide tablet-hide">
3269      <p class="p-riski profile-description">
3270        Staff Data Engineer at Riskified with two decades of experience in data engineering and architecture. Specializes in scaling robust big data systems and helping teams adopt modern data methodologies to solve complex technical challenges.
3271      </p>
3272    </div>
3273  </div>
3274        </div>
3275      </div>
3276          <div class="leadership-slide swiper-slide">
3277        <div class="leadership-slide-wrap">
3278                              <div class="profile-wrap  bio mobile-toggle"   data-index=6 >
3279  
3280  <div class="profile-content  mobile-toggle ">
3281    <div class="profile-img-wrap">
3282      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Alon_Agmon.jpg" alt="" loading="lazy" width="110" height="110" />
3283              <a class="linkedin-icon" href="https://www.linkedin.com/in/alon-agmon/" target="_blank" rel="noopener">
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3293                        <path d="M4.78014118,6.58525934 L4.78014118,18.8613556 L4.6192,18.8613556 C3.37265098,18.8613556 2.12610196,18.8583844 0.880298039,18.8650786 C0.732023529,18.8658123 0.698494118,18.8212449 0.698494118,18.6808575 C0.702219608,14.7091575 0.702219608,10.7374574 0.698494118,6.7657574 C0.698494118,6.62388444 0.735003922,6.58154539 0.881043137,6.58227861 C2.12684706,6.58748771 3.37339608,6.58525934 4.6199451,6.58525934 L4.78014118,6.58525934 Z" id="Stroke-5"></path>
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3301          </div>
3302    <div class="profile-name-wrap">
3303                    <p class="p-riski profile-name">Alon Agmon</p>
3304                    <p class="p-riski">R&amp;D Director, Sheba Medical Center</p>
3305      
3306              <p class="p-riski profile-description">
3307          Alon is an R&amp;D director at the AI Center at Sheba Medical Center, where he leads teams building an agentic operating system for healthcare AI and clinical workflows. He spent the last few years in data engineering and AI — and almost two decades handling exceptions. Intrigued by distributed systems, big data, and AI data architecture, and occasionally contributing to open source.
3308        </p>
3309          </div>
3310
3311  </div>
3312
3313      <div class="profile-description-wrap desktop-hide tablet-hide">
3314      <p class="p-riski profile-description">
3315        Alon is an R&amp;D director at the AI Center at Sheba Medical Center, where he leads teams building an agentic operating system for healthcare AI and clinical workflows. He spent the last few years in data engineering and AI — and almost two decades handling exceptions. Intrigued by distributed systems, big data, and AI data architecture, and occasionally contributing to open source.
3316      </p>
3317    </div>
3318  </div>
3319        </div>
3320      </div>
3321          <div class="leadership-slide swiper-slide">
3322        <div class="leadership-slide-wrap">
3323                              <div class="profile-wrap  bio mobile-toggle"   data-index=7 >
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3325  <div class="profile-content  mobile-toggle ">
3326    <div class="profile-img-wrap">
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3347    <div class="profile-name-wrap">
3348                    <p class="p-riski profile-name">Noa Radin</p>
3349                    <p class="p-riski">Staff Data Scientist, HoneyBook</p>
3350      
3351              <p class="p-riski profile-description">
3352          Noa Radin is a Data Scientist at HoneyBook, where she works on improving user onboarding and product experience. Prior to that, she led a data science team at ThetaRay, designing anomaly detection solutions for global banks and fintechs. Noa holds an M.Sc. in Data Science and Engineering from Ben-Gurion University. 
3353        </p>
3354          </div>
3355
3356  </div>
3357
3358      <div class="profile-description-wrap desktop-hide tablet-hide">
3359      <p class="p-riski profile-description">
3360        Noa Radin is a Data Scientist at HoneyBook, where she works on improving user onboarding and product experience. Prior to that, she led a data science team at ThetaRay, designing anomaly detection solutions for global banks and fintechs. Noa holds an M.Sc. in Data Science and Engineering from Ben-Gurion University. 
3361      </p>
3362    </div>
3363  </div>
3364        </div>
3365      </div>
3366          <div class="leadership-slide swiper-slide">
3367        <div class="leadership-slide-wrap">
3368                              <div class="profile-wrap  bio mobile-toggle"   data-index=8 >
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3373              <a class="linkedin-icon" href="linkedin.com/in/omerginosar/" target="_blank">
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3391          </div>
3392    <div class="profile-name-wrap">
3393                    <p class="p-riski profile-name">Omer Ginosar</p>
3394                    <p class="p-riski">Data Engineering Lead, Sweet Security</p>
3395      
3396              <p class="p-riski profile-description">
3397          I&#039;m a data engineering leader who has spent the last decade building and scaling data platforms in fast-moving companies.
3398
3399As Head of Data at Wiz, I owned the company-wide data function through the hyper-growth that led to its $32B Google acquisition, scaling it to serve 2,500+ customers across the entire company.
3400
3401Today I lead data engineering at Sweet Security, a runtime CNAPP and AI-security startup.
3402Earlier, at Wix, I was a founding member of the Data Engineering guild and built a customer-facing embedded analytics platform used in one of Wix&#039;s products.
3403
3404My focus has stayed constant: making data accessible, trustworthy, and impactful, and building teams and platforms that outlast any single tool or trend.
3405        </p>
3406          </div>
3407
3408  </div>
3409
3410      <div class="profile-description-wrap desktop-hide tablet-hide">
3411      <p class="p-riski profile-description">
3412        I&#039;m a data engineering leader who has spent the last decade building and scaling data platforms in fast-moving companies.
3413
3414As Head of Data at Wiz, I owned the company-wide data function through the hyper-growth that led to its $32B Google acquisition, scaling it to serve 2,500+ customers across the entire company.
3415
3416Today I lead data engineering at Sweet Security, a runtime CNAPP and AI-security startup.
3417Earlier, at Wix, I was a founding member of the Data Engineering guild and built a customer-facing embedded analytics platform used in one of Wix&#039;s products.
3418
3419My focus has stayed constant: making data accessible, trustworthy, and impactful, and building teams and platforms that outlast any single tool or trend.
3420      </p>
3421    </div>
3422  </div>
3423        </div>
3424      </div>
3425          <div class="leadership-slide swiper-slide">
3426        <div class="leadership-slide-wrap">
3427                              <div class="profile-wrap  bio mobile-toggle"   data-index=9 >
3428  
3429  <div class="profile-content  mobile-toggle ">
3430    <div class="profile-img-wrap">
3431      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Mica_Rubinson-e1786101620987.jpg" alt="" loading="lazy" width="110" height="110" />
3432              <a class="linkedin-icon" href="https://www.linkedin.com/in/mica-rubinson/" target="_blank" rel="noopener">
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3442                        <path d="M4.78014118,6.58525934 L4.78014118,18.8613556 L4.6192,18.8613556 C3.37265098,18.8613556 2.12610196,18.8583844 0.880298039,18.8650786 C0.732023529,18.8658123 0.698494118,18.8212449 0.698494118,18.6808575 C0.702219608,14.7091575 0.702219608,10.7374574 0.698494118,6.7657574 C0.698494118,6.62388444 0.735003922,6.58154539 0.881043137,6.58227861 C2.12684706,6.58748771 3.37339608,6.58525934 4.6199451,6.58525934 L4.78014118,6.58525934 Z" id="Stroke-5"></path>
3443                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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3451    <div class="profile-name-wrap">
3452                    <p class="p-riski profile-name">Mica Rubinson, PhD</p>
3453                    <p class="p-riski">AI &amp; Data Science Manager, Navina</p>
3454      
3455              <p class="p-riski profile-description">
3456          Mica Rubinson is the AI &amp; Data Science Manager at Navina, where she leads the development of AI systems that help physicians extract clinical insights from unstructured medical records.
3457
3458Prior to Navina, Mica led algorithm development at Augury, building AI solutions for industrial diagnostics. She holds a Ph.D. in Physics and Neuroscience from the Weizmann Institute of Science and is an active contributor to the data science community through ongoing mentorship and by co-organizing the DataNights program for data science managers.
3459        </p>
3460          </div>
3461
3462  </div>
3463
3464      <div class="profile-description-wrap desktop-hide tablet-hide">
3465      <p class="p-riski profile-description">
3466        Mica Rubinson is the AI &amp; Data Science Manager at Navina, where she leads the development of AI systems that help physicians extract clinical insights from unstructured medical records.
3467
3468Prior to Navina, Mica led algorithm development at Augury, building AI solutions for industrial diagnostics. She holds a Ph.D. in Physics and Neuroscience from the Weizmann Institute of Science and is an active contributor to the data science community through ongoing mentorship and by co-organizing the DataNights program for data science managers.
3469      </p>
3470    </div>
3471  </div>
3472        </div>
3473      </div>
3474          <div class="leadership-slide swiper-slide">
3475        <div class="leadership-slide-wrap">
3476                              <div class="profile-wrap  bio mobile-toggle"   data-index=10 >
3477  
3478  <div class="profile-content  mobile-toggle ">
3479    <div class="profile-img-wrap">
3480      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Stav_Grinboim-e1786101654369.png" alt="" loading="lazy" width="110" height="110" />
3481              <a class="linkedin-icon" href="https://www.linkedin.com/in/stav-grinboim/" target="_blank" rel="noopener">
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3499          </div>
3500    <div class="profile-name-wrap">
3501                    <p class="p-riski profile-name">Stav Grinboim</p>
3502                    <p class="p-riski">Head of Data Analytics, Sola Security</p>
3503      
3504              <p class="p-riski profile-description">
3505          Stav Grinboim is the Head of Data Analytics at Sola Security, a fast-growing B2B cybersecurity SaaS company. Operating as a lean data team of one, she pioneered the use of multi agent AI networks to architect, build, and deploy a complete production data platform in under five months. Her full stack infrastructure includes a Snowflake warehouse, multiple AWS Lambda ETL streams, an internal analytics portal behind Okta SSO, and Elsa, a production-grade AI data assistant serving the entire organization. An analyst by training rather than a software engineer, Stav champions the strategic shift from writing repetitive queries to designing organizational semantics and managing autonomous agentic ecosystems.
3506        </p>
3507          </div>
3508
3509  </div>
3510
3511      <div class="profile-description-wrap desktop-hide tablet-hide">
3512      <p class="p-riski profile-description">
3513        Stav Grinboim is the Head of Data Analytics at Sola Security, a fast-growing B2B cybersecurity SaaS company. Operating as a lean data team of one, she pioneered the use of multi agent AI networks to architect, build, and deploy a complete production data platform in under five months. Her full stack infrastructure includes a Snowflake warehouse, multiple AWS Lambda ETL streams, an internal analytics portal behind Okta SSO, and Elsa, a production-grade AI data assistant serving the entire organization. An analyst by training rather than a software engineer, Stav champions the strategic shift from writing repetitive queries to designing organizational semantics and managing autonomous agentic ecosystems.
3514      </p>
3515    </div>
3516  </div>
3517        </div>
3518      </div>
3519          <div class="leadership-slide swiper-slide">
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3521                              <div class="profile-wrap  bio mobile-toggle"   data-index=11 >
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3526              <a class="linkedin-icon" href="https://www.linkedin.com/in/itamar-frenkel-a599b9111/" target="_blank" rel="noopener">
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3545    <div class="profile-name-wrap">
3546                    <p class="p-riski profile-name">Itamar Frenkel</p>
3547                    <p class="p-riski">Data Science Manager, NVIDIA</p>
3548      
3549              <p class="p-riski profile-description">
3550          Itamar Frenkel is a Data Science manager at NVIDIA, based in Yokneam, Israel, driving AI-powered solutions for hardware engineering and manufacturing. With expertise in machine learning and system engineering, he leads a team pushing the boundaries of AI to improve decision-making and production quality. Previously at Mellanox Technologies (acquired by NVIDIA in 2020), Itamar holds 3 U.S. patents and has been recognized with multiple awards, including NTECH 2024 Best Poster and first-place wins at both NVIDIA and Mellanox hackathons. A University of Haifa graduate, he speaks at industry conferences (INCOSE IL 2024, GTC 2024) and is passionate about building innovative teams and advancing AI in enterprise. He actively recruits top talent and contributes to the data science community.
3551        </p>
3552          </div>
3553
3554  </div>
3555
3556      <div class="profile-description-wrap desktop-hide tablet-hide">
3557      <p class="p-riski profile-description">
3558        Itamar Frenkel is a Data Science manager at NVIDIA, based in Yokneam, Israel, driving AI-powered solutions for hardware engineering and manufacturing. With expertise in machine learning and system engineering, he leads a team pushing the boundaries of AI to improve decision-making and production quality. Previously at Mellanox Technologies (acquired by NVIDIA in 2020), Itamar holds 3 U.S. patents and has been recognized 
3558with multiple awards, including NTECH 2024 Best Poster and first-place wins at both NVIDIA and Mellanox hackathons. A University of Haifa graduate, he speaks at industry conferences (INCOSE IL 2024, GTC 2024) and is passionate about building innovative teams and advancing AI in enterprise. He actively recruits top talent and contributes to the data science community.
3559      </p>
3560    </div>
3561  </div>
3562        </div>
3563      </div>
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3566                              <div class="profile-wrap  bio mobile-toggle"   data-index=12 >
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3571              <a class="linkedin-icon" href="https://www.linkedin.com/in/ayala-adler-725909254/" target="_blank" rel="noopener">
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3581                        <path d="M4.78014118,6.58525934 L4.78014118,18.8613556 L4.6192,18.8613556 C3.37265098,18.8613556 2.12610196,18.8583844 0.880298039,18.8650786 C0.732023529,18.8658123 0.698494118,18.8212449 0.698494118,18.6808575 C0.702219608,14.7091575 0.702219608,10.7374574 0.698494118,6.7657574 C0.698494118,6.62388444 0.735003922,6.58154539 0.881043137,6.58227861 C2.12684706,6.58748771 3.37339608,6.58525934 4.6199451,6.58525934 L4.78014118,6.58525934 Z" id="Stroke-5"></path>
3582                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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3590    <div class="profile-name-wrap">
3591                    <p class="p-riski profile-name">Ayala Adler</p>
3592                    <p class="p-riski">Head of Analytics &amp; BI, Zencity</p>
3593      
3594              <p class="p-riski profile-description">
3595          Programming since I was 16.
3596Co-founded a successful social business in the periphery.
3597Leading the analytics &amp; BI org at Zencity. Created the company&#039;s north star metric and led a full refactoring of the data tech stack and data modelling.
3598
3599Community organizer at DykesWhoTech IL, an LGBT women&#039;s community.
3600        </p>
3601          </div>
3602
3603  </div>
3604
3605      <div class="profile-description-wrap desktop-hide tablet-hide">
3606      <p class="p-riski profile-description">
3607        Programming since I was 16.
3608Co-founded a successful social business in the periphery.
3609Leading the analytics &amp; BI org at Zencity. Created the company&#039;s north star metric and led a full refactoring of the data tech stack and data modelling.
3610
3611Community organizer at DykesWhoTech IL, an LGBT women&#039;s community.
3612      </p>
3613    </div>
3614  </div>
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3619                              <div class="profile-wrap  bio mobile-toggle"   data-index=13 >
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3643    <div class="profile-name-wrap">
3644                    <p class="p-riski profile-name">Itay Vegh</p>
3645                    <p class="p-riski">Senior Data Scientist, Planck</p>
3646      
3647              <p class="p-riski profile-description">
3648          Itay Vegh is a Senior Data Scientist at Planck (now part of Applied Systems), where he designs and deploys GenAI-powered solutions that reshape commercial-insurance underwriting worldwide. His data journey began in the Israel Defense Forces’ elite Unit 8200, then advanced through roles as a Senior Quantitative Researcher at WorldQuant and a founding data scientist at Loops. Itay holds a B.Sc. in Physics and Computer Science (with distinction) from Tel Aviv University and is passionate about translating cutting-edge research into business impact.
3649        </p>
3650          </div>
3651
3652  </div>
3653
3654      <div class="profile-description-wrap desktop-hide tablet-hide">
3655      <p class="p-riski profile-description">
3656        Itay Vegh is a Senior Data Scientist at Planck (now part of Applied Systems), where he designs and deploys GenAI-powered solutions that reshape commercial-insurance underwriting worldwide. His data journey began in the Israel Defense Forces’ elite Unit 8200, then advanced through roles as a Senior Quantitative Researcher at WorldQuant and a founding data scientist at Loops. Itay holds a B.Sc. in Physics and Computer Science (with distinction) from Tel Aviv University and is passionate about translating cutting-edge research into business impact.
3657      </p>
3658    </div>
3659  </div>
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3664                              <div class="profile-wrap  bio mobile-toggle"   data-index=14 >
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3688    <div class="profile-name-wrap">
3689                    <p class="p-riski profile-name">Reut Vilek</p>
3690                    <p class="p-riski">VP R&amp;D and Product, Plurai</p>
3691      
3692              <p class="p-riski profile-description">
3693          I lead R&amp;D and Product at Plurai, where we build infrastructure for agent simulation, evaluation and optimization. Before that I was CTO at Rupert, building predictive signals and agentic workflows, and led engineering and product at Nexar, where we built a digital twin of the world powered by computer vision. Throughout, I&#039;ve lived in the overlap between AI, engineering, and product — the one translating between what&#039;s technically possible, what&#039;s buildable, and what people actually need. What drives me is simplifying the complex: taming hard technical problems on one side, and making things genuinely clear for people on the other.
3694        </p>
3695          </div>
3696
3697  </div>
3698
3699      <div class="profile-description-wrap desktop-hide tablet-hide">
3700      <p class="p-riski profile-description">
3701        I lead R&amp;D and Product at Plurai, where we build infrastructure for agent simulation, evaluation and optimization. Before that I was CTO at Rupert, building predictive signals and agentic workflows, and led engineering and product at Nexar, where we built a digital twin of the world powered by computer vision. Throughout, I&#039;ve lived in the overlap between AI, engineering, and product — the one translating between what&#039;s technically possible, what&#039;s buildable, and what people actually need. What drives me is simplifying the complex: taming hard technical problems on one side, and making things genuinely clear for people on the other.
3702      </p>
3703    </div>
3704  </div>
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3733    <div class="profile-name-wrap">
3734                    <p class="p-riski profile-name">David Ohayon</p>
3735                    <p class="p-riski">Sr. Solutions Architect, AWS</p>
3736      
3737              <p class="p-riski profile-description">
3738          I&#039;m a Senior Solutions Architect at Amazon Web Services (AWS), helping customers design cloud-native architectures across data, analytics, and AI/ML. Before AWS, I led engineering groups at Microsoft as a Principal Engineering Group Manager on the Defender XDR platform, and served as VP R&amp;D at a cybersecurity startup. With 20+ years of experience spanning cybersecurity, cloud, and engineering leadership - starting from the IDF - I am most passionate regarding working with people, and about technology, good combination of both is optimal, I bring a hands-on perspective on leveraging data and cloud to drive real business impact.
3739        </p>
3740          </div>
3741
3742  </div>
3743
3744      <div class="profile-description-wrap desktop-hide tablet-hide">
3745      <p class="p-riski profile-description">
3746        I&#039;m a Senior Solutions Architect at Amazon Web Services (AWS), helping customers design cloud-native architectures across data, analytics, and AI/ML. Before AWS, I led engineering groups at Microsoft as a Principal Engineering Group Manager on the Defender XDR platform, and served as VP R&amp;D at a cybersecurity startup. With 20+ years of experience spanning cybersecurity, cloud, and engineering leadership - starting from the IDF - I am most passionate regarding working with people, and about technology, good combination of both is optimal, I bring a hands-on perspective on leveraging data and cloud to drive real business impact.
3747      </p>
3748    </div>
3749  </div>
3750        </div>
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3754                              <div class="profile-wrap  bio mobile-toggle"   data-index=16 >
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3759              <a class="linkedin-icon" href="https://www.linkedin.com/in/guykorland/" target="_blank" rel="noopener">
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3778    <div class="profile-name-wrap">
3779                    <p class="p-riski profile-name">Guy Korland, PhD</p>
3780                    <p class="p-riski">CEO &amp; Co-Founder, FalkorDB</p>
3781      
3782              <p class="p-riski profile-description">
3783          Guy Korland, PhD in Computer Science from TAU (Tel Aviv University), is the CEO and Co-founder of FalkorDB, where he builds a powerful Graph Database to power Generative AI applications. With a career spanning more than 20 years of experience in the database and software engineering industry, including a previous role as SVP, CTO of Incubation at Redis, Guy’s well-rounded profile brings a balance of R&amp;D, business, and user experience to tech conferences. He aims to make the crowd think beyond the fluff by discussing the good, the bad, and the ugly of the industry.
3784        </p>
3785          </div>
3786
3787  </div>
3788
3789      <div class="profile-description-wrap desktop-hide tablet-hide">
3790      <p class="p-riski profile-description">
3791        Guy Korland, PhD in Computer Science from TAU (Tel Aviv University), is the CEO and Co-founder of FalkorDB, where he builds a powerful Graph Database to power Generative AI applications. With a career spanning more than 20 years of experience in the database and software engineering industry, including a previous role as SVP, CTO of Incubation at Redis, Guy’s well-rounded profile brings a balance of R&amp;D, business, and user experience to tech conferences. He aims to make the crowd think beyond the fluff by discussing the good, the bad, and the ugly of the industry.
3792      </p>
3793    </div>
3794  </div>
3795        </div>
3796      </div>
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3799                              <div class="profile-wrap  bio mobile-toggle"   data-index=17 >
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3804              <a class="linkedin-icon" href="https://www.linkedin.com/in/chen-fradkin-2a335b14b/" target="_blank" rel="noopener">
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3823    <div class="profile-name-wrap">
3824                    <p class="p-riski profile-name">Chen Fradkin</p>
3825                    <p class="p-riski">Data Team Lead, Twine Security</p>
3826      
3827              <p class="p-riski profile-description">
3828          Chen Fradkin is Data Team Lead at Twine Security, where she joined as a founding engineer and built the data platform behind Twine&#039;s AI Digital Employees. Before Twine, she spent five years at Claroty as Data Lead and Security Researcher, and started her career as a software engineer and architect in the IDF. Her work spans algorithms R&amp;D, data and analytics engineering, AI engineering, and security research. She holds a B.Sc. in Computer Science from the Open University of Israel.
3829        </p>
3830          </div>
3831
3832  </div>
3833
3834      <div class="profile-description-wrap desktop-hide tablet-hide">
3835      <p class="p-riski profile-description">
3836        Chen Fradkin is Data Team Lead at Twine Security, where she joined as a founding engineer and built the data platform behind Twine&#039;s AI Digital Employees. Before Twine, she spent five years at Claroty as Data Lead and Security Researcher, and started her career as a software engineer and architect in the IDF. Her work spans algorithms R&amp;D, data and analytics engineering, AI engineering, and security research. She holds a B.Sc. in Computer Science from the Open University of Israel.
3837      </p>
3838    </div>
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3840        </div>
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3844                              <div class="profile-wrap  bio mobile-toggle"   data-index=18 >
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3849              <a class="linkedin-icon" href="https://www.linkedin.com/in/eli-shemesh-34187830/" target="_blank" rel="noopener">
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3860                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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3867          </div>
3868    <div class="profile-name-wrap">
3869                    <p class="p-riski profile-name">Eli Shemesh</p>
3870                    <p class="p-riski">MLOps Architect, Palo Alto Networks</p>
3871      
3872              <p class="p-riski profile-description">
3873          I am a Sr. Principal MLOps Architect at Palo Alto Networks, with over 20 years of experience across technology, cybersecurity, cloud, and DevOps.
3874For more than 10 years, I have focused on designing scalable, reliable, and secure cloud platforms, DevOps and MLOps solutions, and automated pipelines, with a strong focus on AWS, Python, and modern software engineering practices.
3875        </p>
3876          </div>
3877
3878  </div>
3879
3880      <div class="profile-description-wrap desktop-hide tablet-hide">
3881      <p class="p-riski profile-description">
3882        I am a Sr. Principal MLOps Architect at Palo Alto Networks, with over 20 years of experience across technology, cybersecurity, cloud, and DevOps.
3883For more than 10 years, I have focused on designing scalable, reliable, and secure cloud platforms, DevOps and MLOps solutions, and automated pipelines, with a strong focus on AWS, Python, and modern software engineering practices.
3884      </p>
3885    </div>
3886  </div>
3887        </div>
3888      </div>
3889          <div class="leadership-slide swiper-slide">
3890        <div class="leadership-slide-wrap">
3891                              <div class="profile-wrap  bio mobile-toggle"   data-index=19 >
3892  
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3895      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Liat_Iusim.png" alt="" loading="lazy" width="110" height="110" />
3896              <a class="linkedin-icon" href="https://www.linkedin.com/in/liat-iusim-a039aa110/" target="_blank" rel="noopener">
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3907                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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3914          </div>
3915    <div class="profile-name-wrap">
3916                    <p class="p-riski profile-name">Liat Iusim</p>
3917                    <p class="p-riski">Solutions Architect, AWS</p>
3918      
3919              <p class="p-riski profile-description">
3920          Liat Iusim is a Solutions Architect at AWS, specializing in streaming and real-time analytics. With a background as a Tech Lead and Data Engineer, Liat brings hands-on experience in designing and building highly scalable, distributed data systems. She is passionate about helping organizations harness the power of real-time data, leveraging technologies such as Apache Kafka, Apache Flink, and OpenSearch to solve complex data challenges at scale.
3921        </p>
3922          </div>
3923
3924  </div>
3925
3926      <div class="profile-description-wrap desktop-hide tablet-hide">
3927      <p class="p-riski profile-description">
3928        Liat Iusim is a Solutions Architect at AWS, specializing in streaming and real-time analytics. With a background as a Tech Lead and Data Engineer, Liat brings hands-on experience in designing and building highly scalable, distributed data systems. She is passionate about helping organizations harness the power of real-time data, leveraging technologies such as Apache Kafka, Apache Flink, and OpenSearch to solve complex data challenges at scale.
3929      </p>
3930    </div>
3931  </div>
3932        </div>
3933      </div>
3934          <div class="leadership-slide swiper-slide">
3935        <div class="leadership-slide-wrap">
3936                              <div class="profile-wrap  bio mobile-toggle"   data-index=20 >
3937  
3938  <div class="profile-content  mobile-toggle ">
3939    <div class="profile-img-wrap">
3940      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Naveh_Talmon_Chvaicer-e1786128360536.png" alt="" loading="lazy" width="110" height="110" />
3941              <a class="linkedin-icon" href="https://www.linkedin.com/in/naveh-talmon-chvaicer-724326194/" target="_blank" rel="noopener">
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3951                        <path d="M4.78014118,6.58525934 L4.78014118,18.8613556 L4.6192,18.8613556 C3.37265098,18.8613556 2.12610196,18.8583844 0.880298039,18.8650786 C0.732023529,18.8658123 0.698494118,18.8212449 0.698494118,18.6808575 C0.702219608,14.7091575 0.702219608,10.7374574 0.698494118,6.7657574 C0.698494118,6.62388444 0.735003922,6.58154539 0.881043137,6.58227861 C2.12684706,6.58748771 3.37339608,6.58525934 4.6199451,6.58525934 L4.78014118,6.58525934 Z" id="Stroke-5"></path>
3952                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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3959          </div>
3960    <div class="profile-name-wrap">
3961                    <p class="p-riski profile-name">Naveh Talmon Chvaicer</p>
3962                    <p class="p-riski">Data Researcher, Island</p>
3963      
3964              <p class="p-riski profile-description">
3965          Naveh Talmon Chvaicer is a Data Researcher at Island, where he delivers data-driven insights and constructs AI solutions for customers and internal teams. Previously a Cyber Security Analyst in the IDF’s Unit 8200, his work involved driving operational advances based on data-backed research, risk assessments and automation of workflows. His current and previous hands-on work with risk scoring, classification models, datasets and self-validating AI pipelines directly inform his talk on the implementation of SLMs in classification tasks.
3966        </p>
3967          </div>
3968
3969  </div>
3970
3971      <div class="profile-description-wrap desktop-hide tablet-hide">
3972      <p class="p-riski profile-description">
3973        Naveh Talmon Chvaicer is a Data Researcher at Island, where he delivers data-driven insights and constructs AI solutions for customers and internal teams. Previously a Cyber Security Analyst in the IDF’s Unit 8200, his work involved driving operational advances based on data-backed research, risk assessments and automation of workflows. His current and previous hands-on work with risk scoring, classification models, datasets and self-validating AI pipelines directly inform his talk on the implementation of SLMs in classification tasks.
3974      </p>
3975    </div>
3976  </div>
3977        </div>
3978      </div>
3979          <div class="leadership-slide swiper-slide">
3980        <div class="leadership-slide-wrap">
3981                              <div class="profile-wrap  bio mobile-toggle"   data-index=21 >
3982  
3983  <div class="profile-content  mobile-toggle ">
3984    <div class="profile-img-wrap">
3985      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Raz_Tamir.jpg" alt="" loading="lazy" width="110" height="110" />
3986              <a class="linkedin-icon" href="https://www.linkedin.com/in/razta/" target="_blank" rel="noopener">
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3997                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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4004          </div>
4005    <div class="profile-name-wrap">
4006                    <p class="p-riski profile-name">Raz Tamir</p>
4007                    <p class="p-riski">Senior Data Scientist, monday.com</p>
4008      
4009              <p class="p-riski profile-description">
4010          Raz Tamir is a Senior Data Scientist at monday.com, with previous experience leading data science and AI teams. His work spans the full data science lifecycle: translating business goals into ML, AI, and agentic systems, from research and modeling to deployment, monitoring, and product impact. Raz has built production AI systems across multiple domains, including deep learning for computer vision, time series, agentic workflows, and applied ML. He is passionate about helping teams build AI products with clear evaluation, practical feedback loops, and production-grade discipline
4011        </p>
4012          </div>
4013
4014  </div>
4015
4016      <div class="profile-description-wrap desktop-hide tablet-hide">
4017      <p class="p-riski profile-description">
4018        Raz Tamir is a Senior Data Scientist at monday.com, with previous experience leading data science and AI teams. His work spans the full data science lifecycle: translating business goals into ML, AI, and agentic systems, from research and modeling to deployment, monitoring, and product impact. Raz has built production AI systems across multiple domains, including deep learning for computer vision, time series, agentic workflows, and applied ML. He is passionate about helping teams build AI products with clear evaluation, practical feedback loops, and production-grade discipline
4019      </p>
4020    </div>
4021  </div>
4022        </div>
4023      </div>
4024          <div class="leadership-slide swiper-slide">
4025        <div class="leadership-slide-wrap">
4026                              <div class="profile-wrap  bio mobile-toggle"   data-index=22 >
4027  
4028  <div class="profile-content  mobile-toggle ">
4029    <div class="profile-img-wrap">
4030      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Sapir_Hirshberg.jpg" alt="" loading="lazy" width="110" height="110" />
4031              <a class="linkedin-icon" href="https://www.linkedin.com/in/sapir-hirshberg-55660394/" target="_blank" rel="noopener">
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4042                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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4050    <div class="profile-name-wrap">
4051                    <p class="p-riski profile-name">Sapir Hirshberg</p>
4052                    <p class="p-riski">Senior Data Product Manager, Wix</p>
4053      
4054              <p class="p-riski profile-description">
4055          Sapir is a Data Product Manager at Wix, responsible for data management and governance across the company’s data platform. She works on the products and workflows that help teams find trusted data, understand how it connects, investigate issues, and keep the warehouse healthy as it scales increasingly through AI agents and skill-based tooling. She’s focused on turning complex platform capabilities into practical, self-serve experiences that save time and keep work accurate.
4056        </p>
4057          </div>
4058
4059  </div>
4060
4061      <div class="profile-description-wrap desktop-hide tablet-hide">
4062      <p class="p-riski profile-description">
4063        Sapir is a Data Product Manager at Wix, responsible for data management and governance across the company’s data platform. She works on the products and workflows that help teams find trusted data, understand how it connects, investigate issues, and keep the warehouse healthy as it scales increasingly through AI agents and skill-based tooling. She’s focused on turning complex platform capabilities into practical, self-serve experiences that save time and keep work accurate.
4064      </p>
4065    </div>
4066  </div>
4067        </div>
4068      </div>
4069          <div class="leadership-slide swiper-slide">
4070        <div class="leadership-slide-wrap">
4071                              <div class="profile-wrap  bio mobile-toggle"   data-index=23 >
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4073  <div class="profile-content  mobile-toggle ">
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4075      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Noa_Shahar.jpg" alt="" loading="lazy" width="110" height="110" />
4076              <a class="linkedin-icon" href="https://www.linkedin.com/in/noa-shahar-a052a5139/" target="_blank" rel="noopener">
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4087                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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4095    <div class="profile-name-wrap">
4096                    <p class="p-riski profile-name">Noa Shahar</p>
4097                    <p class="p-riski">Applied Scientist, Microsoft</p>
4098      
4099              <p class="p-riski profile-description">
4100          Noa Shahar is an Applied Scientist at Microsoft, working on AI systems that power real-world educational products. Her work focuses on taking machine learning and AI methods from experimentation to production, with an emphasis on building systems that work reliably at scale.
4101She holds a B.Sc. in Computer Science from the Technion and an M.Sc. in Computer Science from the Weizmann Institute of Science.
4102        </p>
4103          </div>
4104
4105  </div>
4106
4107      <div class="profile-description-wrap desktop-hide tablet-hide">
4108      <p class="p-riski profile-description">
4109        Noa Shahar is an Applied Scientist at Microsoft, working on AI systems that power real-world educational products. Her work focuses on taking machine learning and AI methods from experimentation to production, with an emphasis on building systems that work reliably at scale.
4110She holds a B.Sc. in Computer Science from the Technion and an M.Sc. in Computer Science from the Weizmann Institute of Science.
4111      </p>
4112    </div>
4113  </div>
4114        </div>
4115      </div>
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4117        <div class="leadership-slide-wrap">
4118                              <div class="profile-wrap  bio mobile-toggle"   data-index=24 >
4119  
4120  <div class="profile-content  mobile-toggle ">
4121    <div class="profile-img-wrap">
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4123              <a class="linkedin-icon" href="https://www.linkedin.com/inyuval-belfer/" target="_blank" rel="noopener">
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4142    <div class="profile-name-wrap">
4143                    <p class="p-riski profile-name">Yuval Belfer</p>
4144                    <p class="p-riski">Sr. AI Developer Advocate, AI21 Labs</p>
4145      
4146              <p class="p-riski profile-description">
4147          Yuval is a Senior Developer Advocate at AI21 Labs, where he helps engineers go from &quot;it works in the demo&quot; to &quot;it works in production.&quot; He hosts the YAAP podcast (Yet Another AI Podcast) and teaches applied GenAI on various programs. His work spans RAG, fine-tuning, agents, and evaluation (or Yuval-uation, if you&#039;re nasty).
4148        </p>
4149          </div>
4150
4151  </div>
4152
4153      <div class="profile-description-wrap desktop-hide tablet-hide">
4154      <p class="p-riski profile-description">
4155        Yuval is a Senior Developer Advocate at AI21 Labs, where he helps engineers go from &quot;it works in the demo&quot; to &quot;it works in production.&quot; He hosts the YAAP podcast (Yet Another AI Podcast) and teaches applied GenAI on various programs. His work spans RAG, fine-tuning, agents, and evaluation (or Yuval-uation, if you&#039;re nasty).
4156      </p>
4157    </div>
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4161          <div class="leadership-slide swiper-slide">
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4163                              <div class="profile-wrap  bio mobile-toggle"   data-index=25 >
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4168              <a class="linkedin-icon" href="https://www.linkedin.com/in/oshrat-ben-avi-zabludovitz-09384739/" target="_blank" rel="noopener">
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4186          </div>
4187    <div class="profile-name-wrap">
4188                    <p class="p-riski profile-name">Oshrat Ben-Avi Zabludovitz</p>
4189                    <p class="p-riski">Country Manager Israel, UAE, Cyprus &amp; Greece, Aerospike</p>
4190      
4191              <p class="p-riski profile-description">
4192          As the Israel Country Manager at Aerospike, Oshrat Ben-Avi Zabludovitz leads one of the company&#039;s most strategic markets. She brings more than 15 years of experience in the technology industry, with a strong background spanning enterprise technology, business development, and executive leadership.
4193
4194Throughout her career, Oshrat has held senior leadership positions, including Senior Director, Digital Natives Israel and VP of Sales, where she worked closely with enterprise organizations, te
4194chnology companies, and startups to bridge business needs with innovative technology solutions.
4195
4196She began her career in the Israel Defense Forces&#039; C4I Corps, building a solid technical foundation before moving into product management, business development, and technology sales leadership. Her combination of deep technical understanding and commercial expertise enables her to help organizations design innovative solutions while building long-term partnerships based on trust and measurable business outcomes.
4197
4198What drives Oshrat most is her passion for people, creating meaningful value for customers, and achieving ambitious goals through collaboration. She is also deeply committed to fostering technology communities and championing women in leadership across the technology and sales industries.
4199        </p>
4200          </div>
4201
4202  </div>
4203
4204      <div class="profile-description-wrap desktop-hide tablet-hide">
4205      <p class="p-riski profile-description">
4206        As the Israel Country Manager at Aerospike, Oshrat Ben-Avi Zabludovitz leads one of the company&#039;s most strategic markets. She brings more than 15 years of experience in the technology industry, with a strong background spanning enterprise technology, business development, and executive leadership.
4207
4208Throughout her career, Oshrat has held senior leadership positions, including Senior Director, Digital Natives Israel and VP of Sales, where she worked closely with enterprise organizations, te
4208chnology companies, and startups to bridge business needs with innovative technology solutions.
4209
4210She began her career in the Israel Defense Forces&#039; C4I Corps, building a solid technical foundation before moving into product management, business development, and technology sales leadership. Her combination of deep technical understanding and commercial expertise enables her to help organizations design innovative solutions while building long-term partnerships based on trust and measurable business outcomes.
4211
4212What drives Oshrat most is her passion for people, creating meaningful value for customers, and achieving ambitious goals through collaboration. She is also deeply committed to fostering technology communities and championing women in leadership across the technology and sales industries.
4213      </p>
4214    </div>
4215  </div>
4216        </div>
4217      </div>
4218          <div class="leadership-slide swiper-slide">
4219        <div class="leadership-slide-wrap">
4220                              <div class="profile-wrap  bio mobile-toggle"   data-index=26 >
4221  
4222  <div class="profile-content  mobile-toggle ">
4223    <div class="profile-img-wrap">
4224      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Shahar_Yarnitzky-e1786101923202.jpg" alt="" loading="lazy" width="110" height="110" />
4225          </div>
4226    <div class="profile-name-wrap">
4227                    <p class="p-riski profile-name">Shahar Yarnitzky</p>
4228                    <p class="p-riski">Software Engineer, EON</p>
4229      
4230              <p class="p-riski profile-description">
4231          Software engineer with background in HPC, algorithms, and backend development. My day-to-day involves lowering costs for pipelines and conveying those improvements to customers. Currently handling data engineering at EON with an emphasis on optimization.
4232        </p>
4233          </div>
4234
4235  </div>
4236
4237      <div class="profile-description-wrap desktop-hide tablet-hide">
4238      <p class="p-riski profile-description">
4239        Software engineer with background in HPC, algorithms, and backend development. My day-to-day involves lowering costs for pipelines and conveying those improvements to customers. Currently handling data engineering at EON with an emphasis on optimization.
4240      </p>
4241    </div>
4242  </div>
4243        </div>
4244      </div>
4245          <div class="leadership-slide swiper-slide">
4246        <div class="leadership-slide-wrap">
4247                              <div class="profile-wrap  bio mobile-toggle"   data-index=27 >
4248  
4249  <div class="profile-content  mobile-toggle ">
4250    <div class="profile-img-wrap">
4251      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Ira_Sharlin.jpg" alt="" loading="lazy" width="110" height="110" />
4252              <a class="linkedin-icon" href="https://www.linkedin.com/in/ira-sharlin/" target="_blank" rel="noopener">
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4262                        <path d="M4.78014118,6.58525934 L4.78014118,18.8613556 L4.6192,18.8613556 C3.37265098,18.8613556 2.12610196,18.8583844 0.880298039,18.8650786 C0.732023529,18.8658123 0.698494118,18.8212449 0.698494118,18.6808575 C0.702219608,14.7091575 0.702219608,10.7374574 0.698494118,6.7657574 C0.698494118,6.62388444 0.735003922,6.58154539 0.881043137,6.58227861 C2.12684706,6.58748771 3.37339608,6.58525934 4.6199451,6.58525934 L4.78014118,6.58525934 Z" id="Stroke-5"></path>
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4271    <div class="profile-name-wrap">
4272                    <p class="p-riski profile-name">Ira Sharlin</p>
4273                    <p class="p-riski">Director of Product, Memcyco</p>
4274      
4275              <p class="p-riski profile-description">
4276          Ira Sharlin is an AI-native product leader and Director of Product at Memcyco, specializing in the fraud, cyber, and account takeover domains. She works hands-on with machine learning, agentic workflows, Databricks, and Splunk to connect fragmented risk signals and translate them into measurable decisions. Her career spans fraud systems, identity, payments, chargebacks, and financial trading. Ira previously served as Staff PM in QuickBooks Fintech Risk at Intuit, Head of Fraud Systems and Partnerships at 888/evoke, and in leadership roles at Justt and banking trading systems. She is also the co-founder of PM UP, a community of more than 600 product leaders.
4277        </p>
4278          </div>
4279
4280  </div>
4281
4282      <div class="profile-description-wrap desktop-hide tablet-hide">
4283      <p class="p-riski profile-description">
4284        Ira Sharlin is an AI-native product leader and Director of Product at Memcyco, specializing in the fraud, cyber, and account takeover domains. She works hands-on with machine learning, agentic workflows, Databricks, and Splunk to connect fragmented risk signals and translate them into measurable decisions. Her career spans fraud systems, identity, payments, chargebacks, and financial trading. Ira previously served as Staff PM in QuickBooks Fintech Risk at Intuit, Head of Fraud Systems and Partnerships at 888/evoke, and in leadership roles at Justt and banking trading systems. She is also the co-founder of PM UP, a community of more than 600 product leaders.
4285      </p>
4286    </div>
4287  </div>
4288        </div>
4289      </div>
4290          <div class="leadership-slide swiper-slide">
4291        <div class="leadership-slide-wrap">
4292                              <div class="profile-wrap  bio mobile-toggle"   data-index=28 >
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4297              <a class="linkedin-icon" href="https://www.linkedin.com/in/ilya-gulman-b415363b/" target="_blank" rel="noopener">
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4308                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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4315          </div>
4316    <div class="profile-name-wrap">
4317                    <p class="p-riski profile-name">Ilya Gulman</p>
4318                    <p class="p-riski">CTO, Twingo</p>
4319      
4320              <p class="p-riski profile-description">
4321          Ilya Gulman is a data architecture expert with more than 20 years of experience in big data. Over the years, he has worked alongside several dozen companies—from startups and unicorns to large enterprises—to solve complex architecture and data challenges. Curious by nature and enthusiastic about new technologies, Ilya now focuses on bringing AI and agentic systems together with large-scale data platforms.
4322        </p>
4323          </div>
4324
4325  </div>
4326
4327      <div class="profile-description-wrap desktop-hide tablet-hide">
4328      <p class="p-riski profile-description">
4329        Ilya Gulman is a data architecture expert with more than 20 years of experience in big data. Over the years, he has worked alongside several dozen companies—from startups and unicorns to large enterprises—to solve complex architecture and data challenges. Curious by nature and enthusiastic about new technologies, Ilya now focuses on bringing AI and agentic systems together with large-scale data platforms.
4330      </p>
4331    </div>
4332  </div>
4333        </div>
4334      </div>
4335          <div class="leadership-slide swiper-slide">
4336        <div class="leadership-slide-wrap">
4337                              <div class="profile-wrap  bio mobile-toggle"   data-index=29 >
4338  
4339  <div class="profile-content  mobile-toggle ">
4340    <div class="profile-img-wrap">
4341      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Mor_Hasson-e1786101956347.jpg" alt="" loading="lazy" width="110" height="110" />
4342              <a class="linkedin-icon" href="https://www.linkedin.com/in/mor-hasson-69a771164/" target="_blank" rel="noopener">
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4353                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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4361    <div class="profile-name-wrap">
4362                    <p class="p-riski profile-name">Mor Hasson</p>
4363                    <p class="p-riski">Senior Product Analyst, Cyera</p>
4364      
4365              <p class="p-riski profile-description">
4366          Over the past year at Cyera, I have been working at the intersection of data and AI product development. As the Product Analytics Lead for Cy, Cyera&#039;s conversational AI assistant, I built the product analytics stack from scratch- utilizing LLMs to measure an LLM product where traditional analytics fall short. My role includes developing automated classifiers for session categorization and outcome detection, building quality monitoring pipelines, and conducting deep customer research that directly shapes the product roadmap.
4367
4368Before Cyera, I was Head of Data for Simply Draw at Simply (formerly JoyTunes), where I led data and helped build and scale the product from inception to millions of users. Prior to that, I held data roles at Wix and Check Point.
4369        </p>
4370          </div>
4371
4372  </div>
4373
4374      <div class="profile-description-wrap desktop-hide tablet-hide">
4375      <p class="p-riski profile-description">
4376        Over the past year at Cyera, I have been working at the intersection of data and AI product development. As the Product Analytics Lead for Cy, Cyera&#039;s conversational AI assistant, I built the product analytics stack from scratch- utilizing LLMs to measure an LLM product where traditional analytics fall short. My role includes developing automated classifiers for session categorization and outcome detection, building quality monitoring pipelines, and conducting deep customer research that directly shapes the product roadmap.
4377
4378Before Cyera, I was Head of Data for Simply Draw at Simply (formerly JoyTunes), where I led data and helped build and scale the product from inception to millions of users. Prior to that, I held data roles at Wix and Check Point.
4379      </p>
4380    </div>
4381  </div>
4382        </div>
4383      </div>
4384          <div class="leadership-slide swiper-slide">
4385        <div class="leadership-slide-wrap">
4386                              <div class="profile-wrap  bio mobile-toggle"   data-index=30 >
4387  
4388  <div class="profile-content  mobile-toggle ">
4389    <div class="profile-img-wrap">
4390      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Yonathan-Guttel.Edited.png" alt="" loading="lazy" width="110" height="110" />
4391              <a class="linkedin-icon" href="https://www.linkedin.com/in/yonathan-guttel" target="_blank" rel="noopener">
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4409          </div>
4410    <div class="profile-name-wrap">
4411                    <p class="p-riski profile-name">Yonathan Guttel</p>
4412                    <p class="p-riski">Staff Data Scientist, HoneyBook</p>
4413      
4414              <p class="p-riski profile-description">
4415          Yonathan Guttel is a Data Scientist at HoneyBook, where he works on churn prediction, revenue projection, and LLM evaluation. Prior to that, he held data science roles at Lightricks, Nutrino (acquired by Medtronic) and Gong.io. Yonathan holds a B.Sc. and M.Sc. in Biology and completed doctoral research in the field. 
4416        </p>
4417          </div>
4418
4419  </div>
4420
4421      <div class="profile-description-wrap desktop-hide tablet-hide">
4422      <p class="p-riski profile-description">
4423        Yonathan Guttel is a Data Scientist at HoneyBook, where he works on churn prediction, revenue projection, and LLM evaluation. Prior to that, he held data science roles at Lightricks, Nutrino (acquired by Medtronic) and Gong.io. Yonathan holds a B.Sc. and M.Sc. in Biology and completed doctoral research in the field. 
4424      </p>
4425    </div>
4426  </div>
4427        </div>
4428      </div>
4429          <div class="leadership-slide swiper-slide">
4430        <div class="leadership-slide-wrap">
4431                              <div class="profile-wrap  bio mobile-toggle"   data-index=31 >
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4447                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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4455    <div class="profile-name-wrap">
4456                    <p class="p-riski profile-name">Dina Bavli</p>
4457                    <p class="p-riski">Data Science Specialist, Amdocs</p>
4458      
4459              <p class="p-riski profile-description">
4460          Dina Bavli is a Data Science Specialist and Agentic AI Platform &amp; Adoption Lead at Amdocs, where she works on scaling Agentic AI across engineering organizations and helping teams move from experimentation to production.
4461
4462With 7+ years of experience across ML, NLP, Generative AI, and LLM systems, Dina combines hands-on AI engineering with platform design, debugging, and developer enablement. She has supported 12+ engineering teams in designing, deploying, and operating 30+ AI agents.
4463
4464Dina is an AWSuperstar, international speaker, lecturer, mentor, and technical writer. She is passionate about making complex AI concepts practical, understandable, and actually usable by engineering teams.
4465        </p>
4466          </div>
4467
4468  </div>
4469
4470      <div class="profile-description-wrap desktop-hide tablet-hide">
4471      <p class="p-riski profile-description">
4472        Dina Bavli is a Data Science Specialist and Agentic AI Platform &amp; Adoption Lead at Amdocs, where she works on scaling Agentic AI across engineering organizations and helping teams move from experimentation to production.
4473
4474With 7+ years of experience across ML, NLP, Generative AI, and LLM systems, Dina combines hands-on AI engineering with platform design, debugging, and developer enablement. She has supported 12+ engineering teams in designing, deploying, and operating 30+ AI agents.
4475
4476Dina is an AWSuperstar, international speaker, lecturer, mentor, and technical writer. She is passionate about making complex AI concepts practical, understandable, and actually usable by engineering teams.
4477      </p>
4478    </div>
4479  </div>
4480        </div>
4481      </div>
4482          <div class="leadership-slide swiper-slide">
4483        <div class="leadership-slide-wrap">
4484                              <div class="profile-wrap  bio mobile-toggle"   data-index=32 >
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4486  <div class="profile-content  mobile-toggle ">
4487    <div class="profile-img-wrap">
4488      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/אורי-קלסי-VP-Data-Qlik-Israel-e1787513501218.jpg" alt="" loading="lazy" width="110" height="110" />
4489              <a class="linkedin-icon" href="https://www.linkedin.com/in/ori-kelsi/" target="_blank" rel="noopener">
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4499                        <path d="M4.78014118,6.58525934 L4.78014118,18.8613556 L4.6192,18.8613556 C3.37265098,18.8613556 2.12610196,18.8583844 0.880298039,18.8650786 C0.732023529,18.8658123 0.698494118,18.8212449 0.698494118,18.6808575 C0.702219608,14.7091575 0.702219608,10.7374574 0.698494118,6.7657574 C0.698494118,6.62388444 0.735003922,6.58154539 0.881043137,6.58227861 C2.12684706,6.58748771 3.37339608,6.58525934 4.6199451,6.58525934 L4.78014118,6.58525934 Z" id="Stroke-5"></path>
4500                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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4508    <div class="profile-name-wrap">
4509                    <p class="p-riski profile-name">Ori Kelsi</p>
4510                    <p class="p-riski">VP Data, Qlik</p>
4511      
4512              <p class="p-riski profile-description">
4513          I lead S.P. Data (Qlik Israel) data integration strategy and my focus is on helping enterprises turn complex, legacy data environments into infrastructure that supports modern AI initiatives. Over the past year, that&#039;s led me to the question of how enterprise data pipelines can feed live, structured context to LLMs — connecting databases, warehouses, and file systems to vector engines through automated chunking, embedding, and real-time synchronization.
4514        </p>
4515          </div>
4516
4517  </div>
4518
4519      <div class="profile-description-wrap desktop-hide tablet-hide">
4520      <p class="p-riski profile-description">
4521        I lead S.P. Data (Qlik Israel) data integration strategy and my focus is on helping enterprises turn complex, legacy data environments into infrastructure that supports modern AI initiatives. Over the past year, that&#039;s led me to the question of how enterprise data pipelines can feed live, structured context to LLMs — connecting databases, warehouses, and file systems to vector engines through automated chunking, embedding, and real-time synchronization.
4522      </p>
4523    </div>
4524  </div>
4525        </div>
4526      </div>
4527          <div class="leadership-slide swiper-slide">
4528        <div class="leadership-slide-wrap">
4529                              <div class="profile-wrap  bio mobile-toggle"   data-index=33 >
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4531  <div class="profile-content  mobile-toggle ">
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4553    <div class="profile-name-wrap">
4554                    <p class="p-riski profile-name">Noa Baron</p>
4555                    <p class="p-riski">Data Engineering Team Lead, Cato Networks</p>
4556      
4557              <p class="p-riski profile-description">
4558          Noa Baron - Staff Engineer at Cato Networks with a big passion for infrastru
4558cture.
4559Over the past 5 years she has been working with data and helping data teams to successfully handle the growing amount of data collected from the Cato Cloud. Her work focuses on building the new Cato Data Platform, to ensure it supports the organization growing demand for data in scale and use cases with efficient and cost-effective solutions, all while keeping up with Cato’s growth and achieving outstanding performance.
4560        </p>
4561          </div>
4562
4563  </div>
4564
4565      <div class="profile-description-wrap desktop-hide tablet-hide">
4566      <p class="p-riski profile-description">
4567        Noa Baron - Staff Engineer at Cato Networks with a big passion for infrastructure.
4568Over the past 5 years she has been working with data and helping data teams to successfully handle the growing amount of data collected from the Cato Cloud. Her work focuses on building the new Cato Data Platform, to ensure it supports the organization growing demand for data in scale and use cases with efficient and cost-effective solutions, all while keeping up with Cato’s growth and achieving outstanding performance.
4569      </p>
4570    </div>
4571  </div>
4572        </div>
4573      </div>
4574          <div class="leadership-slide swiper-slide">
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4576                              <div class="profile-wrap  bio mobile-toggle"   data-index=34 >
4577  
4578  <div class="profile-content  mobile-toggle ">
4579    <div class="profile-img-wrap">
4580      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/10/Jasmine.png" alt="" loading="lazy" width="110" height="110" />
4581              <a class="linkedin-icon" href="Senior Data Scientist, Google" target="_blank">
4582                      <?xml version="1.0" encoding="UTF-8"?>
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4592                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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4600    <div class="profile-name-wrap">
4601                    <p class="p-riski profile-name">Jasmine Herszage, PhD</p>
4602                    <p class="p-riski">Senior Data Scientist, Google</p>
4603      
4604              <p class="p-riski profile-description">
4605          Jasmine is a Senior Data Scientist in gTech Ads at Google, where she helps Israel’s largest tech companies develop and validate their own custom data science models to unlock business growth. She specializes in predictive Lifetime Value (pLTV) optimization, Bayesian Marketing Mix Modeling (MMM), and advanced causal methodologies. Jasmine holds a PhD in Neuroscience from Tel Aviv University and is passionate about translating advanced statistical architectures into high-impact business outcomes.
4606        </p>
4607          </div>
4608
4609  </div>
4610
4611      <div class="profile-description-wrap desktop-hide tablet-hide">
4612      <p class="p-riski profile-description">
4613        Jasmine is a Senior Data Scientist in gTech Ads at Google, where she helps Israel’s largest tech companies develop and validate their own custom data science models to unlock business growth. She specializes in predictive Lifetime Value (pLTV) optimization, Bayesian Marketing Mix Modeling (MMM), and advanced causal methodologies. Jasmine holds a PhD in Neuroscience from Tel Aviv University and is passionate about translating advanced statistical architectures into high-impact business outcomes.
4614      </p>
4615    </div>
4616  </div>
4617        </div>
4618      </div>
4619          <div class="leadership-slide swiper-slide">
4620        <div class="leadership-slide-wrap">
4621                              <div class="profile-wrap  bio mobile-toggle"   data-index=35 >
4622  
4623  <div class="profile-content  mobile-toggle ">
4624    <div class="profile-img-wrap">
4625      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Gil_Ben-Ami-e1786101999363.jpg" alt="" loading="lazy" width="110" height="110" />
4626              <a class="linkedin-icon" href="https://www.linkedin.com/in/gil-ben-ami/" target="_blank" rel="noopener">
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4636                        <path d="M4.78014118,6.58525934 L4.78014118,18.8613556 L4.6192,18.8613556 C3.37265098,18.8613556 2.12610196,18.8583844 0.880298039,18.8650786 C0.732023529,18.8658123 0.698494118,18.8212449 0.698494118,18.6808575 C0.702219608,14.7091575 0.702219608,10.7374574 0.698494118,6.7657574 C0.698494118,6.62388444 0.735003922,6.58154539 0.881043137,6.58227861 C2.12684706,6.58748771 3.37339608,6.58525934 4.6199451,6.58525934 L4.78014118,6.58525934 Z" id="Stroke-5"></path>
4637                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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4644          </div>
4645    <div class="profile-name-wrap">
4646                    <p class="p-riski profile-name">Gil Ben-Ami</p>
4647                    <p class="p-riski">Data Scientist, Planck</p>
4648      
4649              <p class="p-riski profile-description">
4650          Gil Ben-Ami is a Data Scientist at Planck, an Applied Systems company, where he has spent the past 7 years - the last 4 in data science - growing from building models to building with agents.
4651He has led data science projects in classification, claims, and claim loss-ratio prediction, and developed predictive models that helped improve insurance risk assessment.
4652These days, Gil is all-in on LLM agents and agentic workflows, exploring what happens when a data scientist trades writing code for orchestrating a fleet of AI agents that can research, experiment, and evaluate on their own.
4653        </p>
4654          </div>
4655
4656  </div>
4657
4658      <div class="profile-description-wrap desktop-hide tablet-hide">
4659      <p class="p-riski profile-description">
4660        Gil Ben-Ami is a Data Scientist at Planck, an Applied Systems company, where he has spent the past 7 years - the last 4 in data science - growing from building models to building with agents.
4661He has led data science projects in classification, claims, and claim loss-ratio prediction, and developed predictive models that helped improve insurance risk assessment.
4662These days, Gil is all-in on LLM agents and agentic workflows, exploring what happens when a data scientist trades writing code for orchestrating a fleet of AI agents that can research, experiment, and evaluate on their own.
4663      </p>
4664    </div>
4665  </div>
4666        </div>
4667      </div>
4668          <div class="leadership-slide swiper-slide">
4669        <div class="leadership-slide-wrap">
4670                              <div class="profile-wrap  bio mobile-toggle"   data-index=36 >
4671  
4672  <div class="profile-content  mobile-toggle ">
4673    <div class="profile-img-wrap">
4674      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Avichay_Marciano.png" alt="" loading="lazy" width="110" height="110" />
4675              <a class="linkedin-icon" href="https://www.linkedin.com/in/avichaym/" target="_blank" rel="noopener">
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4685                        <path d="M4.78014118,6.58525934 L4.78014118,18.8613556 L4.6192,18.8613556 C3.37265098,18.8613556 2.12610196,18.8583844 0.880298039,18.8650786 C0.732023529,18.8658123 0.698494118,18.8212449 0.698494118,18.6808575 C0.702219608,14.7091575 0.702219608,10.7374574 0.698494118,6.7657574 C0.698494118,6.62388444 0.735003922,6.58154539 0.881043137,6.58227861 C2.12684706,6.58748771 3.37339608,6.58525934 4.6199451,6.58525934 L4.78014118,6.58525934 Z" id="Stroke-5"></path>
4686                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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4693          </div>
4694    <div class="profile-name-wrap">
4695                    <p class="p-riski profile-name">Avichay Marciano</p>
4696                    <p class="p-riski">Senior Solutions Architect, AWS</p>
4697      
4698              <p class="p-riski profile-description">
4699          Senior Analytics Specialist Solutions Architect at AWS, focused on streaming, batch processing, and database workloads, with 13 years of hands-on experience designing and building distributed data systems. Contributor to various OSS projects, including Apache Flink Agents.
4700        </p>
4701          </div>
4702
4703  </div>
4704
4705      <div class="profile-description-wrap desktop-hide tablet-hide">
4706      <p class="p-riski profile-description">
4707        Senior Analytics Specialist Solutions Architect at AWS, focused on streaming, batch processing, and database workloads, with 13 years of hands-on experience designing and building distributed data systems. Contributor to various OSS projects, including Apache Flink Agents.
4708      </p>
4709    </div>
4710  </div>
4711        </div>
4712      </div>
4713          <div class="leadership-slide swiper-slide">
4714        <div class="leadership-slide-wrap">
4715                              <div class="profile-wrap  bio mobile-toggle"   data-index=37 >
4716  
4717  <div class="profile-content  mobile-toggle ">
4718    <div class="profile-img-wrap">
4719      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/09/Ben-Hazan-2-e1790251255840.png" alt="" loading="lazy" width="110" height="110" />
4720              <a class="linkedin-icon" href="https://www.linkedin.com/in/ben-hazan-24022a219/" target="_blank" rel="noopener">
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4739    <div class="profile-name-wrap">
4740                    <p class="p-riski profile-name">Ben Hazan</p>
4741                    <p class="p-riski">Senior Solutions Engineer, Databricks</p>
4742      
4743              <p class="p-riski profile-description">
4744          Ben Hazan is a Senior Solutions Engineer at Databricks in Israel. He helps organizations modernize their data platforms and adopt the Lakehouse, with expertise in Spark, Delta Lake, Unity Catalog, MLflow, and AI/BI. Ben builds hands-on prototypes across the Databricks stack, including agentic copilots, MLOps solutions, and data-governance tools, and leads customer workshops on data engineering, GenAI, and cost optimization.
4745        </p>
4746          </div>
4747
4748  </div>
4749
4750      <div class="profile-description-wrap desktop-hide tablet-hide">
4751      <p class="p-riski profile-description">
4752        Ben Hazan is a Senior Solutions Engineer at Databricks in Israel. He helps organizations modernize their data platforms and adopt the Lakehouse, with expertise in Spark, Delta Lake, Unity Catalog, MLflow, and AI/BI. Ben builds hands-on prototypes across the Databricks stack, including agentic copilots, MLOps solutions, and data-governance tools, and leads customer workshops on data engineering, GenAI, and cost optimization.
4753      </p>
4754    </div>
4755  </div>
4756        </div>
4757      </div>
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4760                              <div class="profile-wrap  bio mobile-toggle"   data-index=38 >
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4765              <a class="linkedin-icon" href="https://www.linkedin.com/in/eden-fattal-8a0669114/" target="_blank" rel="noopener">
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4784    <div class="profile-name-wrap">
4785                    <p class="p-riski profile-name">Eden Fattal</p>
4786                    <p class="p-riski">Data Engineering Team Lead, Wix</p>
4787      
4788              <p class="p-riski profile-description">
4789          Eden is a Data Engineering Team Leader with over a decade of experience across the data industry, from hands-on analytics to data engineering leadership. Today, she leads a team in Wix’s Core Data Engineering Guild, working on data warehouse foundations, governance, and internal tooling that help data engineers build trusted data assets.
4790        </p>
4791          </div>
4792
4793  </div>
4794
4795      <div class="profile-description-wrap desktop-hide tablet-hide">
4796      <p class="p-riski profile-description">
4797        Eden is a Data Engineering Team Leader with over a decade of experience across the data industry, from hands-on analytics to data engineering leadership. Today, she leads a team in Wix’s Core Data Engineering Guild, working on data warehouse foundations, governance, and internal tooling that help data engineers build trusted data assets.
4798      </p>
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4810              <a class="linkedin-icon" href="https://www.linkedin.com/in/matan-sarig-704850a1/" target="_blank" rel="noopener">
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4829    <div class="profile-name-wrap">
4830                    <p class="p-riski profile-name">Matan Sarig</p>
4831                    <p class="p-riski">Senior Solutions Engineer, Snowflake </p>
4832      
4833              <p class="p-riski profile-description">
4834          Matan Sarig is a Senior Solutions Engineer at Snowflake with over a decade of experience in architecting and implementing robust data solutions. He&#039;s passionate about bridging complex data challenges with intuitive, real-world applications, leveraging his expertise in SQL, data analysis, and enterprise solution design to empower users.
4835        </p>
4836          </div>
4837
4838  </div>
4839
4840      <div class="profile-description-wrap desktop-hide tablet-hide">
4841      <p class="p-riski profile-description">
4842        Matan Sarig is a Senior Solutions Engineer at Snowflake with over a decade of experience in architecting and implementing robust data solutions. He&#039;s passionate about bridging complex data challenges with intuitive, real-world applications, leveraging his expertise in SQL, data analysis, and enterprise solution design to empower users.
4843      </p>
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4855              <a class="linkedin-icon" href="https://www.linkedin.com/in/or-shoham%E2%88%86/" target="_blank" rel="noopener">
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4874    <div class="profile-name-wrap">
4875                    <p class="p-riski profile-name">Or Shoham</p>
4876                    <p class="p-riski">Data Scientist, Product AI Lead, Palo Alto Networks</p>
4877      
4878              <p class="p-riski profile-description">
4879          Senior Staff Data Scientist at Palo Alto Networks, focusing on machine learning–driven cybersecurity solutions. He designs and builds production-grade systems combining classical machine learning and LLMs, from research to large-scale deployment in real-world security environments. His work focuses on data-driven approaches for threat detection, anomaly detection, and automation of security workflows. He holds an MSc in Data Science &amp; Machine Learning from Reichman University, specializing in NLP.
4880        </p>
4881          </div>
4882
4883  </div>
4884
4885      <div class="profile-description-wrap desktop-hide tablet-hide">
4886      <p class="p-riski profile-description">
4887        Senior Staff Data Scientist at Palo Alto Networks, focusing on machine learning–driven cybersecurity solutions. He designs and builds production-grade systems combining classical machine learning and LLMs, from research to large-scale deployment in real-world security environments. His work focuses on data-driven approaches for threat detection, anomaly detection, and automation of security workflows. He holds an MSc in Data Science &amp; Machine Learning from Reichman University, specializing in NLP.
4888      </p>
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4919    <div class="profile-name-wrap">
4920                    <p class="p-riski profile-name">Maya Malamud</p>
4921                    <p class="p-riski">Founder &amp; Healthcare AI Consultant, Malamud AI Advisory</p>
4922      
4923              <p class="p-riski profile-description">
4924          Maya Malamud is a Healthcare AI Consultant and the Founder of Malamud AI Advisory, specializing in trustworthy AI, clinical NLP, and cascading pipeline architecture for HealthTech startups.
4925
4926With over a decade in machine learning and data science, she spends her days making sure AI systems are production-ready, auditable, and reliable before they reach patients - and her research asks what happens when the training data itself is the problem.
4927        </p>
4928          </div>
4929
4930  </div>
4931
4932      <div class="profile-description-wrap desktop-hide tablet-hide">
4933      <p class="p-riski profile-description">
4934        Maya Malamud is a Healthcare AI Consultant and the Founder of Malamud AI Advisory, specializing in trustworthy AI, clinical NLP, and cascading pipeline architecture for HealthTech startups.
4935
4936With over a decade in machine learning and data science, she spends her days making sure AI systems are production-ready, auditable, and reliable before they reach patients - and her research asks what happens when the training data itself is the problem.
4937      </p>
4938    </div>
4939  </div>
4940        </div>
4941      </div>
4942          <div class="leadership-slide swiper-slide">
4943        <div class="leadership-slide-wrap">
4944                              <div class="profile-wrap  bio mobile-toggle"   data-index=42 >
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4949              <a class="linkedin-icon" href="https://www.linkedin.com/in/liad-hazoot/" target="_blank" rel="noopener">
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4959                        <path d="M4.78014118,6.58525934 L4.78014118,18.8613556 L4.6192,18.8613556 C3.37265098,18.8613556 2.12610196,18.8583844 0.880298039,18.8650786 C0.732023529,18.8658123 0.698494118,18.8212449 0.698494118,18.6808575 C0.702219608,14.7091575 0.702219608,10.7374574 0.698494118,6.7657574 C0.698494118,6.62388444 0.735003922,6.58154539 0.881043137,6.58227861 C2.12684706,6.58748771 3.37339608,6.58525934 4.6199451,6.58525934 L4.78014118,6.58525934 Z" id="Stroke-5"></path>
4960                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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4968    <div class="profile-name-wrap">
4969                    <p class="p-riski profile-name">Liad Hazoot</p>
4970                    <p class="p-riski">Founder Engineering Team Lead, Matia</p>
4971      
4972              <p class="p-riski profile-description">
4973          I’m Liad Hazoot, a former professional national track &amp; field jumper and a team tead at Matia, with 10 years of experience in software and data engineering. I specialize in building DataOps platforms and production-grade data infrastructure, enabling reliable, high-scale ETL and reverse ETL workflows across modern data warehouses. I spend most of my time tackling the unglamorous but critical challenge of making data pipelines trustworthy, scalable, and resilient in production environments.
4974        </p>
4975          </div>
4976
4977  </div>
4978
4979      <div class="profile-description-wrap desktop-hide tablet-hide">
4980      <p class="p-riski profile-description">
4981        I’m Liad Hazoot, a former professional national track &amp; field jumper and a team tead at Matia, with 10 years of experience in software and data engineering. I specialize in building DataOps platforms and production-grade data infrastructure, enabling reliable, high-scale ETL and reverse ETL workflows across modern data warehouses. I spend most of my time tackling the unglamorous but critical challenge of making data pipelines trustworthy, scalable, and resilient in production environments.
4982      </p>
4983    </div>
4984  </div>
4985        </div>
4986      </div>
4987          <div class="leadership-slide swiper-slide">
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4989                              <div class="profile-wrap  bio mobile-toggle"   data-index=43 >
4990  
4991  <div class="profile-content  mobile-toggle ">
4992    <div class="profile-img-wrap">
4993      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/10/Guy-Carmin-e1790849883325.jpg" alt="" loading="lazy" width="110" height="110" />
4994              <a class="linkedin-icon" href="https://www.linkedin.com/in/gcarmin/" target="_blank" rel="noopener">
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5005                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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5013    <div class="profile-name-wrap">
5014                    <p class="p-riski profile-name">Guy Carmin</p>
5015                    <p class="p-riski">Director, EMEA Solution Architect, Aerospike</p>
5016      
5017              <p class="p-riski profile-description">
5018          Guy Carmin is a hiker, biker, metalhead, and Director of EMEA Solution Architecture at Aerospike, where he leads solution architecture and technical advisory activities across the EMEA region.
5019
5020Guy brings nearly 30 years of experience in the technology industry, spanning cloud, open source, big data, and NoSQL databases. In his role, he helps organizations design and implement business-critical data systems that operate in real time, at massive scale, and with uncompromising performance.
5021
5022He works closely with customers and partners throughout both the technical and business journey — from defining requirements and shaping architecture, through workshops and proofs of concept, to implementation and system expansion. He also leads technical pre-sales initiatives, develops competitive strategies, and supports the development of Solution Architecture teams across the region.
5023
5024At the heart of his work is the ability to connect complex business challenges with clear, practical, and scalable technology solutions. What drives him is turning complex technology into solutions that work in the real world, while sharing knowledge that helps people and organizations make better decisions.
5025
5026Guy believes in combining deep technical expertise, critical thinking, collaboration, and a genuine appreciation for people, while building long-term relationships based on trust, curiosity, and results.
5027        </p>
5028          </div>
5029
5030  </div>
5031
5032      <div class="profile-description-wrap desktop-hide tablet-hide">
5033      <p class="p-riski profile-description">
5034        Guy Carmin is a hiker, biker, metalhead, and Director of EMEA Solution Architecture at Aerospike, where he leads solution architecture and technical advisory activities across the EMEA region.
5035
5036Guy brings nearly 30 years of experience in the technology industry, spanning cloud, open source, big data, and NoSQL databases. In his role, he helps organizations design and implement business-critical data systems that operate in real time, at massive scale, and with uncompromising performance.
5037
5038He works closely with customers and partners throughout both the technical and business journey — from defining requirements and shaping architecture, through workshops and proofs of concept, to implementation and system expansion. He also leads technical pre-sales initiatives, develops competitive strategies, and supports the development of Solution Architecture teams across the region.
5039
5040At the heart of his work is the ability to connect complex business challenges with clear, practical, and scalable technology solutions. What drives him is turning complex technology into solutions that work in the real world, while sharing knowledge that helps people and organizations make better decisions.
5041
5042Guy believes in combining deep technical expertise, critical thinking, collaboration, and a genuine appreciation for people, while building long-term relationships based on trust, curiosity, and results.
5043      </p>
5044    </div>
5045  </div>
5046        </div>
5047      </div>
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5050                              <div class="profile-wrap  bio mobile-toggle"   data-index=44 >
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5054      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Maya_Caspi_Schliesser-e1786102056512.png" alt="" loading="lazy" width="110" height="110" />
5055              <a class="linkedin-icon" href="https://www.linkedin.com/in/mayacaspi/" target="_blank" rel="noopener">
5056                      <?xml version="1.0" encoding="UTF-8"?>
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5065                        <path d="M4.78014118,6.58525934 L4.78014118,18.8613556 L4.6192,18.8613556 C3.37265098,18.8613556 2.12610196,18.8583844 0.880298039,18.8650786 C0.732023529,18.8658123 0.698494118,18.8212449 0.698494118,18.6808575 C0.702219608,14.7091575 0.702219608,10.7374574 0.698494118,6.7657574 C0.698494118,6.62388444 0.735003922,6.58154539 0.881043137,6.58227861 C2.12684706,6.58748771 3.37339608,6.58525934 4.6199451,6.58525934 L4.78014118,6.58525934 Z" id="Stroke-5"></path>
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5074    <div class="profile-name-wrap">
5075                    <p class="p-riski profile-name">Maya Schliesser</p>
5076                    <p class="p-riski">Data &amp; Measurement Specialist, Google</p>
5077      
5078              <p class="p-riski profile-description">
5079          I&#039;m a data person who came through an unusual door. I started out as a designer, became a Co-Founder and CMO of a startup, ran growth teams at Loops and Voyantis, led data technology at SWC Consulting, and somehow ended up at Google as a Data and Measurement Specialist, working with advertisers on the infrastru
5079cture that connects their data to the algorithms running their campaigns. Along the way I&#039;ve sat on every side of the measurement problem: the person building the pipelines, the person explaining why the numbers don&#039;t match, and the person who needs them to make a business decision by Thursday. 
5080        </p>
5081          </div>
5082
5083  </div>
5084
5085      <div class="profile-description-wrap desktop-hide tablet-hide">
5086      <p class="p-riski profile-description">
5087        I&#039;m a data person who came through an unusual door. I started out as a designer, became a Co-Founder and CMO of a startup, ran growth teams at Loops and Voyantis, led data technology at SWC Consulting, and somehow ended up at Google as a Data and Measurement Specialist, working with advertisers on the infrastructure that connects their data to the algorithms running their campaigns. Along the way I&#039;ve sat on every side of the measurement problem: the person building the pipelines, the person explaining why the numbers don&#039;t match, and the person who needs them to make a business decision by Thursday. 
5088      </p>
5089    </div>
5090  </div>
5091        </div>
5092      </div>
5093          <div class="leadership-slide swiper-slide">
5094        <div class="leadership-slide-wrap">
5095                              <div class="profile-wrap  bio mobile-toggle"   data-index=45 >
5096  
5097  <div class="profile-content  mobile-toggle ">
5098    <div class="profile-img-wrap">
5099      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Orit_Mansur.jpg" alt="" loading="lazy" width="110" height="110" />
5100              <a class="linkedin-icon" href="https://www.linkedin.com/in/orit-mansur/" target="_blank" rel="noopener">
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5119    <div class="profile-name-wrap">
5120                    <p class="p-riski profile-name">Orit Mansur</p>
5121                    <p class="p-riski">Director of Data Engineering, Riskified</p>
5122      
5123              <p class="p-riski profile-description">
5124          Orit is a Director of Data Engineeringat Riskified and has over 10 years of experience in the data industry.
5125As a data specialist, she is passionate about data, technology, business, and people. Her main expertise is in data modeling, analytics, and data visualization. She sees a big part in her role in mentoring and out-of-the-box thinking.
5126        </p>
5127          </div>
5128
5129  </div>
5130
5131      <div class="profile-description-wrap desktop-hide tablet-hide">
5132      <p class="p-riski profile-description">
5133        Orit is a Director of Data Engineeringat Riskified and has over 10 years of experience in the data industry.
5134As a data specialist, she is passionate about data, technology, business, and people. Her main expertise is in data modeling, analytics, and data visualization. She sees a big part in her role in mentoring and out-of-the-box thinking.
5135      </p>
5136    </div>
5137  </div>
5138        </div>
5139      </div>
5140          <div class="leadership-slide swiper-slide">
5141        <div class="leadership-slide-wrap">
5142                              <div class="profile-wrap  bio mobile-toggle"   data-index=46 >
5143  
5144  <div class="profile-content  mobile-toggle ">
5145    <div class="profile-img-wrap">
5146      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Ben_Zagagy-e1786102078208.jpg" alt="" loading="lazy" width="110" height="110" />
5147              <a class="linkedin-icon" href="https://www.linkedin.com/in/ben-zagagy-03a45940/" target="_blank" rel="noopener">
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5157                        <path d="M4.78014118,6.58525934 L4.78014118,18.8613556 L4.6192,18.8613556 C3.37265098,18.8613556 2.12610196,18.8583844 0.880298039,18.8650786 C0.732023529,18.8658123 0.698494118,18.8212449 0.698494118,18.6808575 C0.702219608,14.7091575 0.702219608,10.7374574 0.698494118,6.7657574 C0.698494118,6.62388444 0.735003922,6.58154539 0.881043137,6.58227861 C2.12684706,6.58748771 3.37339608,6.58525934 4.6199451,6.58525934 L4.78014118,6.58525934 Z" id="Stroke-5"></path>
5158                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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5165          </div>
5166    <div class="profile-name-wrap">
5167                    <p class="p-riski profile-name">Ben Zagagy</p>
5168                    <p class="p-riski">Fullstack Tech Lead, Regulus</p>
5169      
5170              <p class="p-riski profile-description">
5171          Today, I serve as a Fullstack Tech Lead at Regulus. Prior to this, I acted as a Solutions Architect and Tech Lead at Monday.com, and before that four years as a Tech Lead and Architect at Shutterfly. I bring 18 years of development experience, including three years as a hands-on team leader and four years as a software architect. I hold both a B.Sc. and an M.Sc. in Computer Science, and I have extensive experience building infrastructure and UI systems, with a deep understanding of diverse technologies and the full development lifecycle. I’m a forward-thinking, vision-driven professional with strong technical expertise, excellent communication skills, and a relentless drive to succeed.
5172        </p>
5173          </div>
5174
5175  </div>
5176
5177      <div class="profile-description-wrap desktop-hide tablet-hide">
5178      <p class="p-riski profile-description">
5179        Today, I serve as a Fullstack Tech Lead at Regulus. Prior to this, I acted as a Solutions Architect and Tech Lead at Monday.com, and before that four years as a Tech Lead and Architect at Shutterfly. I bring 18 years of development experience, including three years as a hands-on team leader and four years as a software architect. I hold both a B.Sc. and an M.Sc. in Computer Science, and I have extensive experience building infrastructure and UI systems, with a deep understanding of diverse technologies and the full development lifecycle. I’m a forward-thinking, vision-driven professional with strong technical expertise, excellent communication skills, and a relentless drive to succeed.
5180      </p>
5181    </div>
5182  </div>
5183        </div>
5184      </div>
5185          <div class="leadership-slide swiper-slide">
5186        <div class="leadership-slide-wrap">
5187                              <div class="profile-wrap  bio mobile-toggle"   data-index=47 >
5188  
5189  <div class="profile-content  mobile-toggle ">
5190    <div class="profile-img-wrap">
5191      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/איל-שהם-Qlik-Talend-Cloud-Expert.jpeg" alt="" loading="lazy" width="110" height="110" />
5192              <a class="linkedin-icon" href="https://www.linkedin.com/in/eyal-shoham-7082b8129/" target="_blank" rel="noopener">
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5202                        <path d="M4.78014118,6.58525934 L4.78014118,18.8613556 L4.6192,18.8613556 C3.37265098,18.8613556 2.12610196,18.8583844 0.880298039,18.8650786 C0.732023529,18.8658123 0.698494118,18.8212449 0.698494118,18.6808575 C0.702219608,14.7091575 0.702219608,10.7374574 0.698494118,6.7657574 C0.698494118,6.62388444 0.735003922,6.58154539 0.881043137,6.58227861 C2.12684706,6.58748771 3.37339608,6.58525934 4.6199451,6.58525934 L4.78014118,6.58525934 Z" id="Stroke-5"></path>
5203                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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5210          </div>
5211    <div class="profile-name-wrap">
5212                    <p class="p-riski profile-name">Eyal Shoham </p>
5213                    <p class="p-riski">Talend Expert, Qlik</p>
5214      
5215              <p class="p-riski profile-description">
5216          At S.P. Data, I lead cloud data initiatives and work as a solution architect, helping customers move from traditional on-prem environments to modern cloud platforms. A big part of that is making sure the data is not only migrated, but organized and prepared in a way that can support AI use cases later on. I’m also focused on automation around data integration and data warehouses, so less of the work depends on manual development and maintenance. That includes building repeatable pipelines, automating data movement and transformations, and making the warehouse easier to operate as the environment grows. For me, the AI part starts with getting the cloud and data foundation right first.
5217        </p>
5218          </div>
5219
5220  </div>
5221
5222      <div class="profile-description-wrap desktop-hide tablet-hide">
5223      <p class="p-riski profile-description">
5224        At S.P. Data, I lead cloud data initiatives and work as a solution architect, helping customers move from traditional on-prem environments to modern cloud platforms. A big part of that is making sure the data is not only migrated, but organized and prepared in a way that can support AI use cases later on. I’m also focused on automation around data integration and data warehouses, so less of the work depends on manual development and maintenance. That includes building repeatable pipelines, automating data movement and transformations, and making the warehouse easier to operate as the environment grows. For me, the AI part starts with getting the cloud and data foundation right first.
5225      </p>
5226    </div>
5227  </div>
5228        </div>
5229      </div>
5230          <div class="leadership-slide swiper-slide">
5231        <div class="leadership-slide-wrap">
5232                              <div class="profile-wrap  bio mobile-toggle"   data-index=48 >
5233  
5234  <div class="profile-content  mobile-toggle ">
5235    <div class="profile-img-wrap">
5236      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Tal_Avraham-e1786102100295.png" alt="" loading="lazy" width="110" height="110" />
5237              <a class="linkedin-icon" href="https://www.linkedin.com/in/tal-avraham-ros/" target="_blank" rel="noopener">
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5248                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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5255          </div>
5256    <div class="profile-name-wrap">
5257                    <p class="p-riski profile-name">Tal Avraham</p>
5258                    <p class="p-riski">Senior Data Analyst, Grip Security</p>
5259      
5260              <p class="p-riski profile-description">
5261          Tal Avraham is an Industrial and Management Engineer (B.Sc., Ben-Gurion University) with over six years of experience in data analytics. After four years as a Data Analyst in Check Point&#039;s R&amp;D organization, she joined Grip Security, where she is now a Senior Data Analyst. In a startup environment, her role combines analytics and data engineering—from SQL and dbt modeling to product analysis, monitoring, and cross-functional collaboration. She enjoys bridging the gap between product, engineering, and analytics to build reliable data solutions for fast-moving teams.
5262        </p>
5263          </div>
5264
5265  </div>
5266
5267      <div class="profile-description-wrap desktop-hide tablet-hide">
5268      <p class="p-riski profile-description">
5269        Tal Avraham is an Industrial and Management Engineer (B.Sc., Ben-Gurion University) with over six years of experience in data analytics. After four years as a Data Analyst in Check Point&#039;s R&amp;D organization, she joined Grip Security, where she is now a Senior Data Analyst. In a startup environment, her role combines analytics and data engineering—from SQL and dbt modeling to product analysis, monitoring, and cross-functional collaboration. She enjoys bridging the gap between product, engineering, and analytics to build reliable data solutions for fast-moving teams.
5270      </p>
5271    </div>
5272  </div>
5273        </div>
5274      </div>
5275          <div class="leadership-slide swiper-slide">
5276        <div class="leadership-slide-wrap">
5277                              <div class="profile-wrap  bio mobile-toggle"   data-index=49 >
5278  
5279  <div class="profile-content  mobile-toggle ">
5280    <div class="profile-img-wrap">
5281      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/09/Tamir_Shazman-e1789201910721.jpg" alt="" loading="lazy" width="110" height="110" />
5282              <a class="linkedin-icon" href="https://www.linkedin.com/in/tamir-shazman-9ba465194/" target="_blank" rel="noopener">
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5293                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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5300          </div>
5301    <div class="profile-name-wrap">
5302                    <p class="p-riski profile-name">Tamir Shazman</p>
5303                    <p class="p-riski">Data Scientist, Fetcherr</p>
5304      
5305              <p class="p-riski profile-description">
5306          Tamir Shazman is a Data Scientist at Fetcherr building Large Market Models using deep learning to simulate market behavior. With a Master&#039;s in Data and Decision Sciences from the Technion, he specializes in reinforcement learning and applying advanced mathematics to real-world business challenges.
5307        </p>
5308          </div>
5309
5310  </div>
5311
5312      <div class="profile-description-wrap desktop-hide tablet-hide">
5313      <p class="p-riski profile-description">
5314        Tamir Shazman is a Data Scientist at Fetcherr building Large Market Models using deep learning to simulate market behavior. With a Master&#039;s in Data and Decision Sciences from the Technion, he specializes in reinforcement learning and applying advanced mathematics to real-world business challenges.
5315      </p>
5316    </div>
5317  </div>
5318        </div>
5319      </div>
5320          <div class="leadership-slide swiper-slide">
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5322                              <div class="profile-wrap  bio mobile-toggle"   data-index=50 >
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5324  <div class="profile-content  mobile-toggle ">
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5327              <a class="linkedin-icon" href="https://www.linkedin.com/in/tomer-yaniv-b9aa726/" target="_blank" rel="noopener">
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5338                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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5346    <div class="profile-name-wrap">
5347                    <p class="p-riski profile-name">Tomer Yaniv</p>
5348                    <p class="p-riski">Head of AI, SNF AI</p>
5349      
5350              <p class="p-riski profile-description">
5351          Tomer Yaniv is a Data Science leader combining hands-on engineering with strategic leadership. Having driven initiatives at companies including Playtika, Riskified, snfai, and others, his expertise spans classical machine learning, generative AI, mathematical optimization, and more. He specializes in translating advanced analytics into high-impact practical systems.
5352        </p>
5353          </div>
5354
5355  </div>
5356
5357      <div class="profile-description-wrap desktop-hide tablet-hide">
5358      <p class="p-riski profile-description">
5359        Tomer Yaniv is a Data Science leader combining hands-on engineering with strategic leadership. Having driven initiatives at companies including Playtika, Riskified, snfai, and others, his expertise spans classical machine learning, generative AI, mathematical optimization, and more. He specializes in translating advanced analytics into high-impact practical systems.
5360      </p>
5361    </div>
5362  </div>
5363        </div>
5364      </div>
5365          <div class="leadership-slide swiper-slide">
5366        <div class="leadership-slide-wrap">
5367                              <div class="profile-wrap  bio mobile-toggle"   data-index=51 >
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5369  <div class="profile-content  mobile-toggle ">
5370    <div class="profile-img-wrap">
5371      <img decoding="async" class="profile-img" src="https://haya-data.com/app/uploads/2026/08/Ronnie_Weinbach-e1786102141162.jpg" alt="" loading="lazy" width="110" height="110" />
5372              <a class="linkedin-icon" href="https://www.linkedin.com/in/ronnie-we/" target="_blank" rel="noopener">
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5391    <div class="profile-name-wrap">
5392                    <p class="p-riski profile-name">Ronnie Weinbach</p>
5393                    <p class="p-riski">Founding Data Analyst, Modus</p>
5394      
5395              <p class="p-riski profile-description">
5396          I am the Founding Data Analyst at Modus, where I focus on solving the &quot;context problem&quot; for AI data agents. I&#039;ve been a Data Analyst for the past 10 years, and I love turning messy data into insights and products. I&#039;m passionate about mentoring and improving both human and AI analysts. Outside of data, I&#039;m a passionate Chief Chocolate, Cake, &amp; Cookies Officer (CCCCO) and will gladly talk your ear off with the ultimate travel tips for Paris and Bologna.
5397        </p>
5398          </div>
5399
5400  </div>
5401
5402      <div class="profile-description-wrap desktop-hide tablet-hide">
5403      <p class="p-riski profile-description">
5404        I am the Founding Data Analyst at Modus, where I focus on solving the &quot;context problem&quot; for AI data agents. I&#039;ve been a Data Analyst for the past 10 years, and I love turning messy data into insights and products. I&#039;m passionate about mentoring and improving both human and AI analysts. Outside of data, I&#039;m a passionate Chief Chocolate, Cake, &amp; Cookies Officer (CCCCO) and will gladly talk your ear off with the ultimate travel tips for Paris and Bologna.
5405      </p>
5406    </div>
5407  </div>
5408        </div>
5409      </div>
5410          <div class="leadership-slide swiper-slide">
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5412                              <div class="profile-wrap  bio mobile-toggle"   data-index=52 >
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5417              <a class="linkedin-icon" href="https://www.linkedin.com/in/gilad-grushka-07943518/" target="_blank" rel="noopener">
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5436    <div class="profile-name-wrap">
5437                    <p class="p-riski profile-name">Gilad Grushka</p>
5438                    <p class="p-riski">Senior Software Engineer, Upriver</p>
5439      
5440              <p class="p-riski profile-description">
5441          I&#039;m a senior software engineer at Upriver Data where I design the AI Context Pipeline behind Upriver&#039;s Automatic Data Engineer solution. I have experience in creating complex data pipelines, constructing strategies for building and monitoring various data products and creating algorithms for data engineering root cause analysis. Prior to Upriver I spent 5 years at Monte Carlo Data I was a co-founder of a startup (Glean Labs) which created an automatic skill mapping solution for enterprises.
5442        </p>
5443          </div>
5444
5445  </div>
5446
5447      <div class="profile-description-wrap desktop-hide tablet-hide">
5448      <p class="p-riski profile-description">
5449        I&#039;m a senior software engineer at Upriver Data where I design the AI Context Pipeline behind Upriver&#039;s Automatic Data Engineer solution. I have experience in creating complex data pipelines, constructing strategies for building and monitoring various data products and creating algorithms for data engineering root cause analysis. Prior to Upriver I spent 5 years at Monte Carlo Data I was a co-founder of a startup (Glean Labs) which created an automatic skill mapping solution for enterprises.
5450      </p>
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5481    <div class="profile-name-wrap">
5482                    <p class="p-riski profile-name">Dafna Friedman</p>
5483                    <p class="p-riski">AI PM and Data Analyst, Arito</p>
5484      
5485              <p class="p-riski profile-description">
5486          I am an AI product manager and data analyst building agentic analytics products at Arito. For the past 15 years, I’ve used data to make sense of complex systems - from neuroscience research and fraud detection to algorithmic AdTech products at Taboola. These days, I’m fascinated by a new kind of complex system: AI agents, and by the challenges and opportunities they bring. I also mentor and led the AI Analytics group at TechGym.
5487        </p>
5488          </div>
5489
5490  </div>
5491
5492      <div class="profile-description-wrap desktop-hide tablet-hide">
5493      <p class="p-riski profile-description">
5494        I am an AI product manager and data analyst building agentic analytics products at Arito. For the past 15 years, I’ve used data to make sense of complex systems - from neuroscience research and fraud detection to algorithmic AdTech products at Taboola. These days, I’m fascinated by a new kind of complex system: AI agents, and by the challenges and opportunities they bring. I also mentor and led the AI Analytics group at TechGym.
5495      </p>
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5518                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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5526    <div class="profile-name-wrap">
5527                    <p class="p-riski profile-name">Maor Grushko</p>
5528                    <p class="p-riski">AI Backend Tech Lead, FINQ</p>
5529      
5530              <p class="p-riski profile-description">
5531          As AI Backend Tech Lead at FINQ, I focus on turning AI ideas into reliable production systems, from training pipelines to scalable backend infrastructure. I enjoy solving practical engineering challenges, optimizing algorithms, sharing knowledge through technical lectures and TechGym, and helping teams build better AI products.
5532        </p>
5533          </div>
5534
5535  </div>
5536
5537      <div class="profile-description-wrap desktop-hide tablet-hide">
5538      <p class="p-riski profile-description">
5539        As AI Backend Tech Lead at FINQ, I focus on turning AI ideas into reliable production systems, from training pipelines to scalable backend infrastructure. I enjoy solving practical engineering challenges, optimizing algorithms, sharing knowledge through technical lectures and TechGym, and helping teams build better AI products.
5540      </p>
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5542  </div>
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5547                              <div class="profile-wrap  bio mobile-toggle"   data-index=55 >
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5552              <a class="linkedin-icon" href="https://www.linkedin.com/in/hsagges/" target="_blank" rel="noopener">
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5571    <div class="profile-name-wrap">
5572                    <p class="p-riski profile-name">Hila Sagges</p>
5573                    <p class="p-riski">Senior Director, Generative Data Lab, Teads</p>
5574      
5575              <p class="p-riski profile-description">
5576          Hila Sagges is Senior Director of the Generative Data Lab at Teads, an AI-first unit rethinking how organizations generate, deliver, and act on data as the driver of the business. She built the Insights Hub - a production data product that delivers analytical insights across the organization, from the C-suite to operational teams, on a cadence. Coming from an analytics background, building the product analytics group at Outbrain and leading both product and business demand-side analytics, she works at the seam where data, product, and engineering meet, turning deep analysis processes that don&#039;t scale into products that do.
5577        </p>
5578          </div>
5579
5580  </div>
5581
5582      <div class="profile-description-wrap desktop-hide tablet-hide">
5583      <p class="p-riski profile-description">
5584        Hila Sagges is Senior Director of the Generative Data Lab at Teads, an AI-first unit rethinking how organizations generate, deliver, and act on data as the driver of the business. She built the Insights Hub - a production data product that delivers analytical insights across the organization, from the C-suite to operational teams, on a cadence. Coming from an analytics background, building the product analytics group at Outbrain and leading both product and business demand-side analytics, she works at the seam where data, product, and engineering meet, turning deep analysis processes that don&#039;t scale into products that do.
5585      </p>
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5592                              <div class="profile-wrap  bio mobile-toggle"   data-index=56 >
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5597              <a class="linkedin-icon" href="https://www.linkedin.com/in/raz-guy/" target="_blank" rel="noopener">
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5616    <div class="profile-name-wrap">
5617                    <p class="p-riski profile-name">Guy Raz</p>
5618                    <p class="p-riski">Senior Data Product Manager, Boomi</p>
5619      
5620              <p class="p-riski profile-description">
5621          I am a Senior Product Manager at Boomi, working on data integration products. I have spent the last several years building the layers behind data products: the connectors that bring data in, the engines that make analytics work, and the performance capabilities that make them usable at scale. At Sisense, I worked on analytics platform capabilities including connectors, analytical engine work and multi-tenancy. At Starburst, I focused on query performance and acceleration for large-scale analytics. Today at Boomi, I work on data integration products that help organizations connect and manage data across systems.
5622        </p>
5623          </div>
5624
5625  </div>
5626
5627      <div class="profile-description-wrap desktop-hide tablet-hide">
5628      <p class="p-riski profile-description">
5629        I am a Senior Product Manager at Boomi, working on data integration products. I have spent the last several years building the layers behind data products: the connectors that bring data in, the engines that make analytics work, and the performance capabilities that make them usable at scale. At Sisense, I worked on analytics platform capabilities including connectors, analytical engine work and multi-tenancy. At Starburst, I focused on query performance and acceleration for large-scale analytics. Today at Boomi, I work on data integration products that help organizations connect and manage data across systems.
5630      </p>
5631    </div>
5632  </div>
5633        </div>
5634      </div>
5635          <div class="leadership-slide swiper-slide">
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5637                              <div class="profile-wrap  bio mobile-toggle"   data-index=57 >
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5642              <a class="linkedin-icon" href="https://www.linkedin.com/in/shiran-golan/" target="_blank" rel="noopener">
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5653                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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5661    <div class="profile-name-wrap">
5662                    <p class="p-riski profile-name">Shiran Golan</p>
5663                    <p class="p-riski">Machine Learning Scientist, Booking.com</p>
5664      
5665              <p class="p-riski profile-description">
5666          Shiran Golan is a Senior Machine Learning Scientist at Booking.com, specializing in NLP and LLM applications. She has over 10 years of experience in machine learning and AI across multiple industries, with expertise in building practical AI systems for real-world applications at scale.
5667        </p>
5668          </div>
5669
5670  </div>
5671
5672      <div class="profile-description-wrap desktop-hide tablet-hide">
5673      <p class="p-riski profile-description">
5674        Shiran Golan is a Senior Machine Learning Scientist at Booking.com, specializing in NLP and LLM applications. She has over 10 years of experience in machine learning and AI across multiple industries, with expertise in building practical AI systems for real-world applications at scale.
5675      </p>
5676    </div>
5677  </div>
5678        </div>
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5681        <div class="leadership-slide-wrap">
5682                              <div class="profile-wrap  bio mobile-toggle"   data-index=58 >
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5687              <a class="linkedin-icon" href="https://www.linkedin.com/in/haim-moscovici/" target="_blank" rel="noopener">
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5698                        <path d="M2.73730588,4.91138127 C1.93632549,4.89726825 1.2500902,4.64174837 0.795580392,3.94575381 C0.0221686274,2.76100318 0.590678431,1.20114343 1.94750196,0.796322688 C2.73358039,0.562343725 3.50475686,0.609139517 4.19322745,1.09046767 C4.88020784,1.57031024 5.13577647,2.27001876 5.03667843,3.08188862 C4.93758039,3.89524406 4.47412941,4.45902194 3.70146275,4.73831112 C3.39746275,4.84824409 3.06589412,4.88241245 2.74699216,4.95074916 C2.74401176,4.93812172 2.74028627,4.9247515 2.73730588,4.91138127 Z" id="Stroke-7"></path>
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5705          </div>
5706    <div class="profile-name-wrap">
5707                    <p class="p-riski profile-name">Haim Moscovici</p>
5708                    <p class="p-riski">Data Analytics Tech Lead, WSC Sports</p>
5709      
5710              <p class="p-riski profile-description">
5711          I Hold a B.Sc. in Industrial Engineering and Management from Ben-Gurion University.
5712I Began my career at Taboola, working for 2.5 years in product-related roles.
5713For the past 4.5 years, I have been at WSC Sports, and led the company’s Direct-to-Fan product line from its inception to strategic growth.
5714        </p>
5715          </div>
5716
5717  </div>
5718
5719      <div class="profile-description-wrap desktop-hide tablet-hide">
5720      <p class="p-riski profile-description">
5721        I Hold a B.Sc. in Industrial Engineering and Management from Ben-Gurion University.
5722I Began my career at Taboola, working for 2.5 years in product-related roles.
5723For the past 4.5 years, I have been at WSC Sports, and led the company’s Direct-to-Fan product line from its inception to strategic growth.
5724      </p>
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5757                                                                                                      <div class="link-text">
5758                                                  <h3 class="h3-riski">Get tickets</h3>
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5774                                                                                                      <div class="link-text">
5775                                                  <h3 class="h3-riski">Explore the agenda</h3>
5776                                                                      </div>
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5791                                                                                                      <div class="link-text">
5792                                                  <h3 class="h3-riski">Meet the team</h3>
5793                                                                      </div>
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5796                                  </a>
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5826                                          <div class="link-text">
5827                          <h3 class="h3-riski">Explore the agenda</h3>
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5841                                          <div class="link-text">
5842                          <h3 class="h3-riski">Meet the team</h3>
5843                                  </div>
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5867<div class="wp-block-group powerdby"><div class="wp-block-group__inner-container is-layout-flow wp-block-group-is-layout-flow">
5868<p class="">Powerd by</p>
5869
5870
5871
5872<figure class="wp-block-image size-full"><img decoding="async" src="https://haya-data.com/app/uploads/2022/02/riskified-tect-color.svg" alt="" class="wp-image-93"/></figure>
5873</div></div>
5874</div>
5875</div>
5876
5877
5878
5879<p class="copyright show-desktop-only has-text-color" style="color:#ffffff">© 2022 hayaData</p>
5880</div>
5881
5882
5883
5884<div class="wp-block-column is-layout-flow wp-block-column-is-layout-flow"></div>
5885
5886
5887
5888<div class="wp-block-column has-mobile-text-center is-layout-flow wp-block-column-is-layout-flow" style="padding-top:20px;padding-right:20px;padding-bottom:20px;padding-left:20px">
5889<p class="no-margin has-text-color" style="color:#ffffff"><strong>Contact us</strong></p>
5890
5891
5892
5893<p class="has-text-color" style="color:#ffffff"><a href="mailto:[email protected]" target="_blank" rel="noreferrer noopener">[email protected]</a></p>
5894
5895
5896<div class="follow-us aligncenter">
5897          <span class="follow-us-title">
5898        Follow Us
5899      </span>
5900        <span class="follow-us-icons">
5901                                  <a class="follow-us-link noselect  " href="https://www.facebook.com/RiskifiedTechnology" target="_blank" rel="noopener noreferrer" aria-label="Riskified on Facebook  (opens in a new tab) ">
5902
5903            <svg aria-hidden="true" focusable="false" width="26" height="27" viewBox="0 0 26 27" fill="none" xmlns="http://www.w3.org/2000/svg">
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5905</svg>                      </a>
5906                                          <a class="follow-us-link noselect  " href="https://www.linkedin.com/showcase/riskified-technology/" target="_blank" rel="noopener noreferrer" aria-label="Riskified on Linkedin  (opens in a new tab) ">
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5908            <svg aria-hidden="true" focusable="false" width="26" height="27" viewBox="0 0 26 27" fill="none" xmlns="http://www.w3.org/2000/svg">
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5910</svg>                      </a>
5911                                          <a class="follow-us-link noselect  " href="https://twitter.com/RiskifiedTech" target="_blank" rel="noopener noreferrer" aria-label="Riskified on Twitter  (opens in a new tab) ">
5912
5913            <svg aria-hidden="true" focusable="false" width="26" height="27" viewBox="0 0 26 27" fill="none" xmlns="http://www.w3.org/2000/svg">
5914<path d="M25.0009 7.58065C24.1024 7.96888 23.2001 8.26194 22.2001 8.3609C23.2001 7.77476 24.0009 6.80041 24.3993 5.72709C23.3993 6.31323 22.3993 6.70145 21.3016 6.89936C20.3016 5.92501 19.0009 5.33887 17.6024 5.33887C14.8993 5.33887 12.7001 7.4817 12.7001 10.1117C12.7001 10.5037 12.7001 10.892 12.8016 11.185C8.70007 10.9909 5.10242 9.13735 2.70007 6.21427C2.20007 6.89936 2.00085 7.77476 2.00085 8.65017C2.00085 10.3096 2.89929 11.7712 4.20007 12.6466C3.39929 12.5476 2.60242 12.3535 2.00085 12.0604C2.00085 12.0604 2.00085 12.0604 2.00085 12.1594C2.00085 14.4963 3.70007 16.445 5.89929 16.8371C5.50085 16.9322 5.10242 17.0312 4.60242 17.0312C4.30164 17.0312 4.00085 17.0312 3.70007 16.9322C4.30164 18.8809 6.10242 20.2473 8.30164 20.2473C6.60242 21.5147 4.50085 22.2912 2.20007 22.2912C1.80164 22.2912 1.39929 22.2912 1.00085 22.196C3.20007 23.5586 5.80164 24.3389 8.50085 24.3389C17.6024 24.3389 22.5009 17.0312 22.5009 10.6978C22.5009 10.5037 22.5009 10.3096 22.5009 10.1117C23.5009 9.43041 24.3016 8.55501 25.0009 7.58065Z" fill="#4C3EFF"/>
5915</svg>                      </a>
5916                                          <a class="follow-us-link noselect  " href="https://www.youtube.com/channel/UCirQ4lFS5IgJZPQiyhE5Myw" target="_blank" rel="noopener noreferrer" aria-label="Riskified on Youtube  (opens in a new tab) ">
5917
5918            <svg aria-hidden="true" focusable="false" width="26" height="27" viewB
5918ox="0 0 26 27" fill="none" xmlns="http://www.w3.org/2000/svg">
5919<path d="M23.9546 9.93548C23.8241 9.45119 23.5687 9.00964 23.214 8.65496C22.8593 8.30028 22.4178 8.04489 21.9335 7.91431C20.1494 7.42877 13 7.42877 13 7.42877C13 7.42877 5.84873 7.42877 4.06844 7.90678C3.58306 8.03766 3.14072 8.29407 2.78591 8.6502C2.4311 9.00633 2.17634 9.44963 2.04726 9.93548C1.56925 11.7177 1.56925 15.4382 1.56925 15.4382C1.56925 15.4382 1.56925 19.1587 2.04726 20.9409C2.17749 21.4254 2.43277 21.8671 2.7875 22.2219C3.14223 22.5766 3.58397 22.8319 4.06844 22.9621C5.85061 23.4401 13 23.4401 13 23.4401C13 23.4401 20.1513 23.4401 21.9335 22.9621C22.4178 22.8315 22.8593 22.5761 23.214 22.2214C23.5687 21.8668 23.8241 21.4252 23.9546 20.9409C24.4308 19.1587 24.4308 15.4382 24.4308 15.4382C24.4308 15.4382 24.4251 11.7177 23.9546 9.93548Z" fill="#4C3EFF"/>
5920<path d="M10.7135 18.867L16.6547 15.4381L10.7135 12.0093V18.867Z" fill="white"/>
5921</svg>                      </a>
5922                  </span>
5923  </div>
5924
5925
5926
5927
5928<p class="copyright show-mobile-only has-text-color" style="color:#ffffff">© 2022 hayaData</p>
5929</div>
5930</div>
5931
5932
5933</div>
5934
5935
5936
5937
5938  </section>
5939  <style type="text/css">
5940    #section-block_c3f679132ff8f3bf94fa3069e1f1e32e-6ac3111d2945f {
5941              background-color: #080e3f;
5942                              
5943          }
5944
5945
5946    
5947
5948    @media only screen and (max-width: 991px) {
5949      #section-block_c3f679132ff8f3bf94fa3069e1f1e32e-6ac3111d2945f {
5950                        
5951              }
5952    }
5953  </style>
5954
5955    </div>
5956  </div>
5957</main>
5958<style>
5959  .side-popup .side-popup-header {
5960          background-color: #4C3EFF;
5961      }
5962</style>
5963    </div>
5964
5965        
5965<script type="speculationrules">
5966{"prefetch":[{"source":"document","where":{"and":[{"href_matches":"/*"},{"not":{"href_matches":["/wp/wp-*.php","/wp/wp-admin/*","/app/uploads/*","/app/*","/app/plugins/*","/app/themes/riskified/*","/*\\?(.+)"]}},{"not":{"selector_matches":"a[rel~=\"nofollow\"]"}},{"not":{"selector_matches":".no-prefetch, .no-prefetch a"}}]},"eagerness":"conservative"}]}
5967</script>
vendor: 1 bytes, line 5967
5967
5968<script id="app-js-extra">
5969var riskified = {"ajaxUrl":"https://haya-data.com/wp/wp-admin/admin-ajax.php","themeUrl":"https://haya-data.com/app/themes/riskified","jobDescriptionUrl":"https://haya-data.com/hayadata-2026/speakers/","hubspot":{"portalId":"","subscribeFormId":""},"bannerHiddenDuration":null,"sidePopupHiddenDuration":null,"current_language":null,"anchorElementToScan":null,"jsStrings":{"businessEmail":"Please enter your business email address.","somethingWrong":"Something went wrong, please try again","validEmail":"Please enter a valid email address","recent":"Recent","everything":"Everything","minutesRead":"Minutes read"},"careersJobsTemplate":"https://haya-data.com/app/themes/riskified/public/build/assets/jobs-template-BL_T0h0c.mst"};
5970//# sourceURL=app-js-extra
5971</script>
vendor: 1 bytes, line 5971
5971
5972<script type="module" src="https://haya-data.com/app/themes/riskified/public/build/assets/app-CgOtFFnd.js" id="app-js"></script>
vendor: 1 bytes, line 5972
5972
5973<script src="https://store.webless.ai/riskified/tags/riskified_home..js" id="webless-js"></script>
5973
5974  </body>
5975</html>

Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.