Summary
Shanglin Zhou is a Senior Data Scientist at Walmart Labs with nine years of experience applying deep learning and statistical methods to production problems, currently focused on Agentic-AI defect management and personalized driver-matching recommendations. He holds a Ph.D. in Computer Science from the University of Connecticut, where his research emphasized model compression for computer vision—bridging research rigor with practical deployment. His background includes internships at Instacart, Synopsys, Oak Ridge National Laboratory, and Arm, giving him exposure to both industry-scale ML systems and hardware-aware optimization. Based in Los Angeles, Shanglin blends a strong statistical foundation (M.S. in Statistics) with hands-on ML engineering, often translating academic advances into performant, production-ready solutions. An implicit strength is his cross-domain fluency: from applied math and statistics to agentic AI, enabling him to tackle end-to-end challenges from model design to system integration.
9 years of coding experience
PhD Candidate, Computer Science, PhD Candidate, Computer Science at University of Connecticut
Non-degree, Applied Mathematics, Non-degree, Applied Mathematics at University of Wisconsin-Stout
Bachelor of Science (B.S.), Statistics, Bachelor of Science (B.S.), Statistics at Central University for Nationalities
English, Chinese