Fan Zhou is a machine learning engineer with a decade of experience specializing in search and recommendation systems, currently building ML-driven search at Google after leading model design and optimization for TikTok Search. His background spans industry leaders (TikTok, WeChat, JD.com) and research/teaching roles at Carnegie Mellon and Nankai University, blending production-scale engineering with academic rigor in deep learning. He holds an MS in Electrical and Computer Engineering from Carnegie Mellon and a BE from Nankai, and has practical CV and data-mining internship experience that informs his end-to-end approach to ranking and retrieval. Comfortable across Python/Java stacks (GitHub handle javaer), Fan often helps peers navigate opportunities at major platforms, reflecting both technical depth and strong industry networks.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE, Electronic Science and Technology, Bachelor of Engineering - BE, Electronic Science and Technology at 南开大学
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at 美国卡内基梅隆大学
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Fan Zhou - Machine Learning Engineer - Search Recommendation