Martin Velez is a Staff Software Engineer and FinOps Tech Lead at Aurora with 14 years of experience designing systems that control cloud costs and enable autonomous vehicle development. He previously built data infrastructure for self-driving research at Uber and brings deep research roots from a CS PhD at UC Davis where he created tools used by thousands of students and published novel compiler-repair and code-mining techniques. Based in San Francisco, he combines hands-on engineering, cost-optimization processes, and research-driven problem solving to make large, distributed systems more efficient and debuggable. Martin’s background spans full-stack web systems, data pipelines, and tooling for education and reverse engineering—an unusual blend that helps him translate academic insights into production-grade solutions. He’s known for turning complex diagnostic problems into practical tooling and repeatable processes that reduce operational friction and cloud spend.
14 years of coding experience
11 years of employment as a software developer
Bachelor of Arts (BA), Economics, Bachelor of Arts (BA), Economics at University of California, Davis
Contributions:1 PR, 101 pushes, 2 branches in 5 years 11 months
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