Wangyang Zhang is a senior AI engineering leader with nine years of experience building and evaluating foundation models and GenAI systems for personalization, search, and recommendation at Netflix and Google. He has led end-to-end GenAI quality, SFT and RL tuning teams whose data directly contributed to Gemini base models, and now directs model evaluation and data curation for Netflix’s member LLM. His background blends applied research in finance and retail with production engineering—earlier work at Cadence advanced ML-driven analog design automation—and he holds a PhD from Carnegie Mellon. An inventor on 20+ patents and multiple best-paper awardee, he also contributes to open-source data platforms like CDAP, improving backend scheduling and preferences APIs. Colleagues know him for translating rigorous evaluation frameworks into deployable agentic architectures that improve real-world user experiences.
9 years of coding experience
13 years of employment as a software developer
BS&MS, Computer Science, BS&MS, Computer Science at Tsinghua University
An open source framework for building data analytic applications.
Role in this project:
Back-end Developer
Contributions:359 reviews, 590 commits, 264 PRs in 3 years 1 month
Contributions summary:Wangyang primarily worked on enhancing the CDAP framework's internal functionalities. They focused on improvements to the scheduling API, adding features such as the inclusion of the last update time in the schedule details. Additionally, the user implemented a preferences HTTP handler and added clients for fetching ApplicationDetail, PreferencesDetail, and ScheduleDetail. The user also made code refactoring changes by renaming and moving artifact and logging related endpoints.
Contributions:2 pushes, 1 branch in 3 years 1 month
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