GenAI, Staff Software Engineer, Tech Lead at Google
San Francisco, California, United States
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Summary
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Senior
🎓
Top School
Ethan Wang is a GenAI-focused Staff Software Engineer and tech lead based in San Francisco with 11 years of experience building large-scale AI systems and production infra. He has led founding engineering work across DeepMind and Google AI Labs—driving model personalization, training/sampling infrastructure on TPU, and agent interaction research—while also serving as Engineer in Residence for Google’s AI Venture Fund. A long-time Apache Phoenix committer, Ethan brings deep backend and database expertise, having fixed critical aggregation bugs and improved client-server compatibility in a widely used open-source SQL-on-HBase project. His career blends research and product delivery—from startup co-founder roles to founding teams at Meta and DeepMind—illustrating a knack for turning ambitious ideas into deployable systems. Unusually, he pairs hands-on low-level data engineering skills with state-of-the-art GenAI techniques like LoRA, adapters, and RL-based fine-tuning to ship personalized model behavior at scale.
11 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Bachelor's degree at Wuhan Textile University
Student Developer, Martinos Center, Student Developer, Martinos Center at Harvard University
Master's degree, Master's degree at University of Iowa
Visiting Scholar, Advanced Financial Technologies Laboratory, Visiting Scholar, Advanced Financial Technologies Laboratory at Stanford University
Contributions:36 commits, 3 PRs, 20 comments in 7 months
Contributions summary:Ethan's contributions primarily revolve around enhancing the Apache Phoenix database system, specifically focusing on improving error messages, adding property policies for user-defined properties, and fixing issues related to data handling. They addressed a compatibility issue between client and server versions and introduced a feature for setting properties on indexes. Furthermore, the user fixed a critical bug in the `coearceByte` function, ensuring the accuracy of nested group-by aggregations on big integer data types.
Contributions:198 commits, 8 PRs, 106 pushes in 1 year 10 months
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Ethan Wang - GenAI, Staff Software Engineer, Tech Lead at Google