Alvin Gao is a data engineer in the San Francisco Bay Area with 11 years of engineering experience and a BS in Applied Physics from Yale. He blends experimental physics rigor from early research on superconducting circuits with practical production work—spanning quantum engineering at Rigetti, ML-driven medical coding at Fathom, and data infrastructure at Cerebras Systems. Comfortable at the intersection of research and production, he ships data pipelines that support advanced hardware and ML workflows. A self-described tinkerer on GitHub, he brings curiosity and a hands-on mentality to solve noisy, real-world data problems at scale.
Contributions:24 commits, 2 PRs, 4 pushes in 3 days
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