Summary
Brett Galkowski is an ML infrastructure engineer with nine years of experience building production-grade serving, inference, evaluation and optimization systems for robotics, healthcare, and cloud platforms. Based in Mountain View, he has driven model validation and reproducibility at Verily—cutting evaluation cycles from months to weeks—and led model serving efforts that paired LLM judges with expert annotators. His background spans low-level systems work at Qualcomm and Microsoft to constrained-edge inference and SDK development for drones at Shield AI, where he halved container and model image sizes. A pragmatic engineer comfortable with Terraform-driven cloud migrations and Kubernetes for real-time inference, Brett combines research collaboration with hands-on delivery. He holds an MS in Computer Science from UC San Diego and brings a subtle taste for linguistic play (per his GitHub bio), reflecting a curiosity that surfaces in both tooling and evaluation design.
9 years of coding experience
5 years of employment as a software developer
University of California, San Diego
University of California, Irvine