Summary
Bo Peng is a software engineer and data scientist with a decade of experience applying optimization, ML, and simulation to real-world systems, currently measuring and monitoring autonomous vehicle performance at Waymo. He combines a strong academic foundation—PhD from Stanford and dual master’s from Virginia Tech—with hands-on production work building data-driven metrics, simulation pipelines, and CI/CD-backed database tools at Autodesk. His background spans reinforcement learning for database tuning, multi-agent RL for traffic control, and novel optimization methods that reduced computational cost by half in research settings. Based in the San Francisco Bay Area, he bridges research and production, turning complex evaluation problems into efficient, scalable solutions that prevent AV regressions.
10 years of coding experience