Summary
Sam Showalter is a Senior Machine Learning Engineer with nine years of experience building production systems to prevent financial fraud, currently driving transaction risk, graph ML, and policy optimization at Stripe. He combines a PhD-level deep learning research background from UC Irvine with hands-on applied work at Amazon and Qualcomm, where he shipped research software like the MultiRec package and contributed to generative model quality improvements. Sam has a track record of turning research prototypes into open, production-ready toolkits (e.g., CAMeLeon at SRI) and mentors emerging ML talent through Lumiere Education. Based in Seattle, he blends rigorous academic training with practical product impact, often translating complex multi-task and RL concepts into measurable business outcomes.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at UC Irvine Donald Bren School of Information and Computer Sciences
Bachelor's Degree Mathematics and Economics Minor in Computer Science, Bachelor's Degree Mathematics and Economics Minor in Computer Science at DePauw University
English