Summary
Nir Yungster is a Director of Enterprise AI Partnerships based in Chicago with a Ph.D. in applied math and over a decade of machine learning and AI experience paired with nine years of industry experience in data roles. He has built and led data organizations across startup and enterprise settings—scaling ML platforms, productionizing generative AI fabrics, and delivering externally facing data products that drove engagement and monetization for media companies. At AbbVie he led the Enterprise AI Infrastructure team that connected researchers and non-technical users to cutting-edge generative models, and previously scaled recommendation and A/B testing systems at JW Player that increased viewer time by 20%. Comfortable at the intersection of research, product, and operations, he combines rigorous mathematical training with hands-on systems design to move models from prototype to production. Notably, he co-founded a one-day data conference in NYC, reflecting a commitment to community and knowledge-sharing beyond his corporate roles.
9 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Engineering Sciences and Applied Mathematics, Doctor of Philosophy (Ph.D.), Engineering Sciences and Applied Mathematics at Northwestern University
Kellogg School of Management
Bachelor of Science and Engineering (B.S.E.), Mechanical and Aerospace Engineering, Bachelor of Science and Engineering (B.S.E.), Mechanical and Aerospace Engineering at Princeton University