Noah Huber-Feely is a staff robotics engineer with 11 years of software and systems experience, currently developing obstacle perception and motion/path planning for autonomous agricultural vehicles at John Deere after a multi-role tenure at Bear Flag Robotics. He is a polyglot developer who moves fluidly between Node.js APIs, full-stack mobile/web products, and robotics stacks, and is actively exploring ML and data-science applications informed by prior work at JPL and Columbia. Noah has built production-grade autonomy tooling—authoring a path-generation utility that enabled full farm operations and delivering high-performance backend systems for startups as a CTO and freelance engineer. He contributes to open-source integrations (e.g., bridging Google Music and Alexa with deployable Heroku backends and Last.fm scrobbling) and emphasizes pragmatic, performance-first solutions. Based in Winchester, TN, he blends startup agility with engineering rigor to ship field-ready robotic systems. A lifelong learner, he pairs formal CS training with hands-on experimentation across robotics, NLP, and data pipelines.
11 years of coding experience
7 years of employment as a software developer
Computer science, Computer science at Homeschool
Computer Science Computer Science, Computer Science Computer Science at Columbia University
Contributions:26 commits, 5 PRs, 26 comments in 8 months
Contributions summary:Noah primarily focused on integrating and enhancing the application's functionality, especially concerning its integration with Google Music and Alexa. Their contributions include making the server deployable on Heroku, merging updates from the upstream repository, and incorporating Last.fm scrobbling support. They also implemented shuffle functionality and added features to play music from a user's library.
Contributions:20 commits, 5 pushes, 1 branch in 11 months
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