Devon Richards is a seasoned software engineer with 13 years’ experience building high-throughput, performance-sensitive systems and full-stack applications from mobile to data-driven ML platforms. He has led teams and technical efforts across CI/CD, DevOps, backend microservices, and constrained optimization for business levers, most recently as Principal Machine Learning Engineer at AB InBev. Devon pairs deep low-level performance tuning with pragmatic product-focused engineering—building production pipelines, optimization models, and interactive apps for model inspection and recommendations. He’s contributed to open-source projects such as XMage, improving client-side UI and macro-recording features, reflecting a hands-on approach to both UX and systems code. Comfortable as an individual contributor or manager, he repeatedly delivered automated deployment and testing systems that reduced operational overhead. Based in New York and seeking remote opportunities, he brings a track record of solving unusual technical problems with careful troubleshooting and elegant engineering trade-offs.
13 years of coding experience
10 years of employment as a software developer
Computer Science, Computer Science at The University of Texas at Dallas
Contributions:9 commits, 2 PRs, 8 comments in 17 days
Contributions summary:Devon contributed to the UI and client-side logic of the XMage project, implementing features related to macro recording and UI elements. They introduced a button to toggle macro recording and integrated functionality for skipping to the next turn or end turn. The changes also included stylistic and code cleanup updates within the front end client codebase.
An open source web application for building, managing, and playtesting Magic the Gathering cubes.
Contributions:34 commits, 11 PRs, 827 pushes in 1 year 4 months
cubesgatheringmagicweb-applicationplaytesting
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