Summary
Kaiyi Zhu is a Senior Data Scientist based in California with eight years of experience translating academic ML research into production-grade solutions. With a PhD from Virginia Tech and publications at NeurIPS, ICLR, and ICML on optimal transport methods, Kaiyi combines deep theoretical grounding with hands-on engineering—building semantic search and generative-AI components for Walmart’s e-commerce platform. Past internships and projects span last-mile logistics optimization, graph-based RL for delivery time estimation, and C++ reservoir simulators, reflecting a rare blend of ML, systems, and domain modeling. Known for turning complex retrieval and embedding research into scalable features, Kaiyi brings both product-focused pragmatism and research rigor to cross-functional teams.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.E.), Petroleum Engineering, 86/100, Bachelor of Engineering (B.E.), Petroleum Engineering, 86/100 at China University of Petroleum (Beijing)
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Virginia Tech
Visiting student, Petroleum Engineering, Visiting student, Petroleum Engineering at University of Regina
Chinese, English