Matt Reed is a founding engineer and AI specialist with nine years of hands-on experience building production systems and research-grade ML infrastructure. After earning a BS in Symbolic Systems and an MS in Computer Science (AI) from Stanford, he has bridged applied research and product work—from low-communication distributed training research at EXO Labs to building AI compliance engines for nuclear energy at Everstar. He now focuses on child-centered AI as a founding engineer at Goblins, creating learning experiences that amplify kids’ agency rather than replace it. Comfortable across the stack, he has shipped Next.js/Vercel sites and automation workflows that have driven tens of thousands of daily visits, and he designs distributed training methods like SPARTA that cut communication costs without sacrificing speed. Based in New York, Matt combines a playful mission-driven approach with rigorous systems thinking and a track record of moving research ideas into real-world products.
9 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at Dublin High School
Masters of Computer Science, Artificial Intelligence, Masters of Computer Science, Artificial Intelligence at Stanford University
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