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Daniel Eitan

Chief AI Architect at OpenPolicy

Daniel Eitan serves as the Chief AI Architect at OpenPolicy, leading AI initiatives that assist companies in navigating regulatory frameworks and influencing policy decisions through data-driven solutions. Prior experience includes roles as a Senior Data Scientist and Researcher at aiOla, where Daniel contributed to advancements in data science, and as a Teaching Assistant at Reichman University, teaching Computer Science and Digital Architectures. Previous positions also encompass a Machine Learning Engineer and Software Engineer at WhiteSource, where Daniel enhanced code performance and mentored others. Daniel's technical expertise is rooted in significant roles at SanDisk and Reneus, focusing on embedded systems and innovative neural network platforms. Daniel holds a Master of Science in Machine Learning & Data Science and a Bachelor of Science in Computer Science, both from Reichman University.

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