Summary
Stephen Mistele is an AI infrastructure engineer with 8 years of experience building large-scale ML and GenAI platforms, most recently shaping frontier training and inference infrastructure at Azure CoreAI after driving SageMaker Training capabilities at AWS. He specializes in high-performance distributed GPU systems, scalable ML pipelines, and cost- and performance-optimizations that move models from research to production for large enterprise customers. Stephen blends hands-on systems engineering with product instincts—architecting solutions that eliminated six-figure cloud costs and resolving complex geo-clustering blockers—and he’s led cross-functional teams and innovation initiatives. An avid teacher and Senior Speaker at Amazon, he regularly presents on SageMaker, runs hackathons and university workshops, and mentors others on upskilling with AI. Based in Seattle, he balances deep infrastructure work with side-projects, REST APIs, and a passion for skiing and rock climbing.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Santa Clara University