Honghao 丘弘灏 is a Senior Staff Product Manager based in Palo Alto with nine years of experience building AI and data infrastructure across startups and tech giants. Currently leading RecSys Data and GenAI data initiatives at Meta, he focuses on training data platforms, sequence storage, vector/semantic search (FAISS), and graph learning, and has contributed to Llama and other GenAI tooling. His background spans Microsoft AI (helping evolve Viva Topics into core Microsoft Graph), founding roles in Web3 and decentralization projects (including a lead PM role at FEVM that reached $150M+ TVL), and hands-on research at Stanford SAIL on noisy-label learning for CNNs. He blends deep technical fluency in ML systems with product strategy and startup execution, having shipped infra-scale features and helped scale an ML/IoT company from a capstone to Series B+. Notably comfortable toggling between low-level model/data problems and high-level platform design, he also quietly maintains open-source work and a GitHub presence under honghaoq.
9 years of coding experience
7 years of employment as a software developer
Master of Engineering - MEng Operations Research, Master of Engineering - MEng Operations Research at University of California, Berkeley
BS Mathematics BA Economics, BS Mathematics BA Economics at Chinese Academy of Sciences, China University of Political Science & Law (Joint Education Program)
Master of Science - MS Management & Engineering, Master of Science - MS Management & Engineering at Stanford University
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