Summary
Shayne Hodge is a Senior Machine Learning Engineer with 12 years of experience building ML and AI systems across autonomous vehicles, fintech, legaltech, and SaaS. He blends hands-on modeling and production engineering—designing pipelines, embedding stores, RAG/few-shot systems, and expression languages that let non-technical users query LLMs—while optimizing infra for speed and test coverage. Shayne has led teams at Cruise, Tome, Level, and startups, shipping scalable ML platforms, Bayesian and reconciliation models, and performance-validation tooling for real-world systems. His cross-disciplinary background (M.S. EE, J.D., MBA) and prior work as a patent litigator give him a rare mix of technical depth, product judgment, and regulatory/legal insight. Based in California, he’s pragmatic about operational constraints, frequently prioritizing inference cost, observability, and developer ergonomics when moving models to production.
12 years of coding experience
12 years of employment as a software developer
M.S. Electrical Engineering, M.S. Electrical Engineering at University of California, Davis
J.D. Law, J.D. Law at University of California, Berkeley - School of Law
MBA Business Administration and Management General, MBA Business Administration and Management General at Santa Clara University Leavey School of Business
B.S. Electrical Engineering, B.S. Electrical Engineering at California State University, Fresno
Law (finished at Boalt), Law (finished at Boalt) at Northwestern University Pritzker School of Law
English, French