Summary
Cai Gao is a Staff Data Scientist and operations research expert with eight years of experience applying mathematical programming, heuristics, and network optimization to large-scale supply chain and logistics problems. Based in San Jose, he led development of production optimization engines at Walmart Global Tech—most notably a 3D bin-packing palletization system delivering >85% efficiency and a stable inbound network optimizer that can replace commercial tools. His background includes building BCG’s SNOW AI supply-chain optimization product and identifying multimillion-dollar transportation savings for major manufacturers and retailers. Cai combines strong software engineering skills (Java, Python, C++, Springboot, SQL) with solver expertise (CPLEX/Gurobi) to move models from research to pilots and production. He holds a PhD in Operations Research and has applied his academic work—from UAV routing to explainable constraint-based ML—directly to industry problems. Notably, he blends theoretical rigor with pragmatic heuristics to deliver robust, explainable optimization systems that scale.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Southwest University
Doctor of Philosophy (Ph.D.), Operation Research, Doctor of Philosophy (Ph.D.), Operation Research at University at Buffalo
english, mandarin