Summary
Liam barstad is a Machine Learning Engineer in San Diego with eight years of experience building data-driven systems that automate, predict, and analyze at scale. He has moved from back-end engineering into ML and data roles across startups and enterprises, including AT&T and General Dynamics Information Technology, and has freelanced as a consultant applying reinforcement learning, anomaly detection, and text-to-speech solutions. Proficient in Python, SQL, Go, Rust and JavaScript, he pairs production-minded engineering (Docker, Kubernetes, graph databases) with test-driven agile practices to deliver reliable pipelines and models. A proven mediator and analytical thinker, he thrives on annotating the human condition through big data and turning complex requirements into auditable, production-ready systems. Not obvious from titles: he blends research support experience with hands-on software craftsmanship, bridging exploratory modeling and large-scale deployment.
8 years of coding experience
6 years of employment as a software developer
University of California, San Diego
Back-End Web Development, Back-End Web Development at Turing School of Software & Design