Summary
Yuhui Shi is a software engineer and entrepreneur with 11 years of experience building production-grade Enterprise AI infrastructure, distributed training systems, and decision-focused application platforms. Currently optimizing FLOPS and GPU kernels for large-scale model training at Meta, he previously co-founded Convect AI to democratize data-driven operational decision apps and contributed SQL/LLM integration work at MindsDB. His background blends deep operations research (PhD, University of Michigan) with hands-on engineering across AutoML, MLOps, and supply-chain optimization at companies like JD.com, Facebook, and Ford, where his scheduling and predictive models delivered measurable cost and utilization improvements. Comfortable moving between research and production, he has a track record of shipping scalable systems, optimizing compute, and translating complex models into operable software. Based in Berkeley, he pairs academic rigor with startup grit and makes time to discuss collaboration via his public Calendly.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD) Operations Research, Doctor of Philosophy (PhD) Operations Research at University of Michigan
Bachelor of Business Administration Management Science, Bachelor of Business Administration Management Science at Fudan University
English, Chinese