Fang-chieh Chou is a seasoned software engineer and tech lead with 12 years of experience building perception and prediction systems for autonomy and robotics, currently advancing automated delivery at DoorDash Labs. He has led multi-disciplinary teams at Aurora and Uber ATG, shipping LiDAR/camera fusion, 3D object detection, and end-to-end perception-prediction models that contributed to patents and conference publications. His background spans applied machine learning at Yelp—where he helped launch revenue-driving models and shared ML infrastructure—to foundational research from a PhD in biochemistry at Stanford on RNA folding and Monte Carlo simulations. That unusual combination of deep scientific training and production ML/robotics experience lets him bridge rigorous modeling with scalable deployment and latency-optimized inference on vehicles. Based in Redwood City, he is comfortable managing 10+ engineer teams and collaborating across partners to resolve on-road system-level failures. He maintains an academic publication record, reflecting a habit of turning research insights into practical systems.
12 years of coding experience
6 years of employment as a software developer
Bachelor's Degree, Chemistry, 3.9/4, Bachelor's Degree, Chemistry, 3.9/4 at National Taiwan University
Doctor of Philosophy (Ph.D.), Biochemistry, Doctor of Philosophy (Ph.D.), Biochemistry at Stanford University
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