Summary
Han Xu is a Senior Machine Learning Engineer with nine years of experience applying statistical rigor and deep learning to real-world products, currently building recommender systems at Baidu in Beijing. With a Columbia University master's in statistics and dual undergraduate degrees in mathematics and statistics, he blends strong theoretical foundations with hands-on production ML engineering. His background includes risk management applications and a history of teaching and mentoring, reflecting clear communication of complex ideas. At Baidu since 2016, he has progressed from applied ML roles into senior engineering, focusing on algorithm design and scalable deployment. Outside work his Github tagline, "Long may the sun shine!", hints at a pragmatic, optimistic approach to long-running systems and sustained model performance. He is comfortable navigating both research-grade modeling and the engineering trade-offs needed to ship reliable recommendation services.
9 years of coding experience
1 year of employment as a software developer
Exchange Student, Applied Mathematics, Exchange Student, Applied Mathematics at National Chiao Tung University
Master's Degree, Statistics, 3.85/4.0, Master's Degree, Statistics, 3.85/4.0 at 美国哥伦比亚大学
Dual Bachelor's Degree, Mathematics and Applied Mathematics & Statistics, Dual Bachelor's Degree, Mathematics and Applied Mathematics & Statistics at Xiamen University
English, Chinese