Yi-fu Wu is an AI algorithms engineer based in the San Francisco Bay Area with 11 years of experience bridging production engineering and cutting-edge research. After senior engineering and platform leadership roles in startups and enterprise (Boxed, Adap.tv) he pivoted into ML research, contributing as a student researcher and research intern at Google, Generally Intelligent, Meta, and Apple before joining NVIDIA. He brings rare full-stack product intuition to algorithm work—able to move ideas from research prototypes to deployable systems at scale. Currently pursuing a PhD in Computer Science at Rutgers, he combines rigorous academic training with hands-on experience across industry labs and production teams. An implicit strength is his cross-domain fluency: finance app development early in his career plus platform leadership gives him practical perspective on performance, reliability, and real-world constraints in AI systems.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Rutgers University–New Brunswick
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