Summary
Ye Chen is a Senior Applied Scientist with 11 years of experience building end-to-end machine learning systems across advertising, ride-sharing, and digital agriculture. He has led production ML efforts at Amazon, DiDi and Uber, delivering real-time demand and pricing models that materially improved business KPIs (e.g., +25% event forecast accuracy, +2pp gross profit uplift for carpool pricing). Comfortable spanning research and engineering, he designs compact, high-impact solutions—from calibrated wide & deep nets and embedding-based spatial clustering to unified simulation pipelines that cut maintenance costs by 75%. His background includes agronomic recommendation systems at The Climate Corporation and early work deploying power-system assessment tools, reflecting a strong applied research pedigree with a PhD in electrical engineering. Based in San Francisco, Ye combines product-facing collaboration with hands-on model deployment at scale, and often surfaces simple practical fixes that outperform more complex baselines.
11 years of coding experience
13 years of employment as a software developer
Bachelor of Arts (B.A.), Electrical Engineering and Automation, Bachelor of Arts (B.A.), Electrical Engineering and Automation at Sichuan University
Doctor of Philosophy (PhD), Electrical Engineering, Doctor of Philosophy (PhD), Electrical Engineering at University of Cincinnati
Chinese, English