Chao Cheng is a Machine Learning Engineering Manager based in the San Francisco Bay Area with 11 years of experience building and scaling ML/AI systems across finance and consumer businesses. He progressed through technical and leadership roles at PayPal—rising to Director of Machine Learning—and now leads ML engineering at Adobe, driving solutions for marketing, risk, fraud, personalization, and operations. His background spans data science roles at Capital One, Victoria’s Secret, and enterprise analytics firms, reflecting a strong blend of domain knowledge and production ML delivery. He holds advanced degrees including an MS in Computer Science from Georgia Tech and a PhD in Analytical Chemistry, bringing rigorous research training to pragmatic product engineering. Colleagues value him for turning complex analytics into operational systems and for mentoring managers and scientists to ship impactful models. Off the clock he keeps things light—his GitHub motto “life is short, be happy!” hints at a pragmatic, people-first leadership style.
11 years of coding experience
11 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Bachelor of Science (BS), Bachelor of Science (BS) at Nanjing University
Master of Science (M.Sc.) Business analytics, Master of Science (M.Sc.) Business analytics at Michigan State University - Eli Broad College of Business
Doctor of Philosophy (Ph.D.) Analytical Chemistry, Doctor of Philosophy (Ph.D.) Analytical Chemistry at Michigan State University
Contributions:33 pushes, 1 branch in 3 years 5 months
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Chao Cheng - Machine Learning Engineering Manager at Adobe