Qitong Gao is a research scientist with nine years of experience applying machine learning and reinforcement learning to personalization and recommendation systems, currently advancing Netflix's homepage and ranking algorithms. He holds a PhD from Duke where his dissertation earned a departmental Best PhD award, and has a strong internship track record at Meta/Facebook and Netflix developing production-ready models and off-policy RL frameworks that materially improved offline metrics. Comfortable bridging research and engineering, he has a proven ability to take novel modeling and off-policy evaluation methods from prototype to A/B testing and deployment. Based in Los Gatos, he combines rigorous academic training in electrical and computer engineering with hands-on systems experience, and often focuses on measurable business impact rather than purely theoretical gains.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, GPA 3.88, Doctor of Philosophy - PhD, Electrical and Computer Engineering, GPA 3.88 at Duke University
Bachelor of Engineering (B.E.), Processing Equipment and Control Engineering, GPA: 3.62, Bachelor of Engineering (B.E.), Processing Equipment and Control Engineering, GPA: 3.62 at Tianjin University
Contributions:16 commits, 14 pushes, 1 branch in 4 days
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