Kevin Scott is a Senior System Software Engineer with 11 years of experience building production-grade systems and machine learning tooling, currently contributing at NVIDIA from New York. He blends hands-on systems expertise with an ML focus—previously as a Machine Learning Engineer at Archipelago and author of the pragmatic "Deep Learning in JavaScript" guide aimed at hackers and practitioners. Kevin has a strong product and startup background, having founded a consultancy (Theory Incorporated) and run his own development firm, which informs his ability to craft elegant user-facing experiences alongside backend complexity. Trained in Human-Computer Interaction at Carnegie Mellon and with a BA in Computer Music and Multimedia from Brown, he brings a multidisciplinary approach that surfaces in practical, developer-friendly tooling and educational work. Not-obvious: he markets himself simply as a "Hacker" on GitHub, signaling a bias for creative problem solving and rapid prototyping across the stack.
11 years of coding experience
11 years of employment as a software developer
BA Computer Music and Multimedia, BA Computer Music and Multimedia at Brown University
Master's degree Human Computer Interaction, Master's degree Human Computer Interaction at Carnegie Mellon University
Contributions:236 PRs, 228 pushes, 238 branches in 1 month
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Kevin Scott - Senior System Software Engineer at NVIDIA