Zeyu Li is a PhD-trained machine learning engineer and founding engineer with eight years of experience building production GenAI and NLP systems across high-growth Bay Area companies. He has driven ML work at Robinhood and Snap after internships at Facebook and Adobe, where he focused on differential privacy for NLP, and now applies deep learning to real-world products at an early-stage stealth startup. Comfortable bridging research and engineering, he moves models from prototypes to scalable services and is known colloquially on GitHub as a "GenAI mule"—a hint at his hands-on appetite for shipping generative AI tooling. Based in Belmont, CA, Zeyu combines rigorous academic training from UCLA and HIT with pragmatic startup execution and a consistent record of cross-company ML impact.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, computer science, Bachelor's degree, computer science at Harbin Institute of Technology
Contributions:22 commits, 18 pushes, 1 branch in 10 months
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