Tom Dunlap is a Senior Machine Learning Engineer in San Francisco with eight years building production-grade computer vision, AR, and ML systems across automotive, healthcare, and robotics domains. He has led architecture and cost-optimization efforts—redesigning a complex vehicle detection and segmentation pipeline onto Kubernetes and cutting annual cloud spend by half—while shipping mobile AR features and generative tooling for developer productivity. Comfortable bridging research and product, he pairs hands-on deep learning (Yolov5, NeRF, CLIP, transformers) with practical MLOps (Kubernetes, AWS, MLflow, DVC) to move prototypes into scalable services. A former professional athlete and stand-up comic, he brings uncommon team leadership and communication skills that help translate technical tradeoffs to stakeholders.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at University of Colorado Boulder
Bachelor of Arts (B.A.) Neuroscience, Bachelor of Arts (B.A.) Neuroscience at Pomona College
Contributions:35 commits, 9 pushes, 1 branch in 8 months
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