David Kebudi

David Kebudi

About David Kebudi

David Kebudi - Vice President and AI Leader

David Kebudi is the Vice President and a founding member of the Data Science & AI team at his firm. He plays a pivotal role in implementing AI technologies to support investment teams in conducting due diligence and evaluating new technologies. His responsibilities also extend to collaborating with the management of portfolio companies to foster innovation through the use of advanced analytics and AI.

Educational Background of David Kebudi

David Kebudi has a strong academic background in both the mathematical and economic sciences. He holds a Master of Science (M.S.) degree in Mathematics & Computer Science with a specialization in Data Science, and a Bachelor of Arts (B.A.) degree in Economics from Brown University. His academic training has provided him with a solid foundation for his work in data science and artificial intelligence.

David Kebudi's Experience with Palantir Technologies

Before his current role, David Kebudi was a member of the Modeling & AI team at Palantir Technologies. At Palantir, he was instrumental in implementing advanced AI solutions across various sectors. A notable achievement during his tenure was his contribution to the development of software that significantly reduced the incidence of wildfires caused by the electric grid by 99% in Northern California in 2022.

David Kebudi's Role in AI Startups

Prior to joining his current firm, David Kebudi served as the Co-Head of AI at a technology startup. In this position, he gained crucial experience in overseeing AI initiatives and contributed to the successful deployment of numerous AI-driven solutions. His leadership in the startup's AI efforts laid the groundwork for his current achievements and responsibilities.

David Kebudi's Patents in AI

David Kebudi holds several patents that underline his contributions to the field of artificial intelligence. His patents include innovative frameworks in AI agent structures, feedback loops for machine learning models, and the commoditization of imitation learning and AI training. These patents reflect his deep expertise and ongoing commitment to advancing AI technologies.

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