Alexander Reynolds is a software engineer with 11 years of experience specializing in distributed robotic systems, computer vision, and data pipelines. He has led and shipped end-to-end software for autonomous platforms—owning OS/board bringup, sensor integration, flight controls, observability, and manufacturing calibration—most recently at Nominal after senior engineering leadership at Anduril. Comfortable across Python, C++, Go, and Rust, he builds tools that turn robot data into actionable analytics, including dataset backends, client libraries, and replayable IPC/network capture formats. His background blends academic work on uncertainty propagation in vision with practical wins like a 10x performance improvement and 5x range gain on an onboard CV stack. Based in Culver City, he pairs systems-level thinking with hands-on metaprogramming and signal-processing instincts to de-risk complex hardware-software transitions. Notably, he has a track record of creating the core Python project patterns and developer tools teams adopt company-wide.
11 years of coding experience
8 years of employment as a software developer
Honors Bachelor of Science, Mathematics at Barrett, the Honors College, Honors Bachelor of Science, Mathematics at Barrett, the Honors College at Arizona State University
Contributions:28 commits, 6 PRs, 22 pushes in 3 years 5 months
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