Thom Hammond is an SDE 2 specializing in machine learning with eight years of engineering experience and a background that blends art history and computer science from UC Berkeley. He moved up through Amazon’s engineering ranks after building backend systems and automation tools earlier in his career, including content transformation workflows and a Unity3D visualization app for a museum. Comfortable across backend development and applied ML, Thom is curious by nature and known for asking deep questions to drive better technical decisions. Based in the San Francisco Bay Area, he pairs analytical rigor with a creative lens—an unusual mix that informs both system design and user-facing tooling. Outside of work he recharges on long runs along the Bay Trail and by tackling steep hikes, habits that mirror his steady, endurance-oriented approach to delivering software.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Arts - BA History of Art minor in Computer Science, Bachelor of Arts - BA History of Art minor in Computer Science at University of California, Berkeley
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