Summary
Bill Shi is a technology leader and applied-math PhD who blends deep theoretical expertise in network dynamics with 11+ years of product and engineering leadership across startups and large tech companies. Currently CTO at Slung after co-founding Pond—where he built an agentic AI analytics platform for blockchain data—he has led ML teams, developed graph-ML products, and shipped production model pipelines and APIs. His background spans academia and industry, from modeling opinion formation, hypergraphs and nano-composites to practical work on recommender systems and knowledge graphs at Amazon that moved revenue and explainability metrics. Bill is skilled at turning complex relational data into reliable, scalable tooling and has a track record of validating agentic and multi-agent workflows in closed-beta production settings. Based in Greater Seattle, he pairs rigorous statistical and numerical modeling with hands-on system building, often bridging research collaborations with customer-driven product outcomes. An under-the-radar strength is his proven ability to operationalize cutting-edge graph ML research into developer-focused platforms and APIs.
11 years of coding experience
12 years of employment as a software developer
Ph.D., Applied Mathematics, Ph.D., Applied Mathematics at The University of North Carolina at Chapel Hill
B.S., Math and Applied Mathematics, B.S., Math and Applied Mathematics at Zhejiang University
English, Chinese