Enoch Kan is a Lead Machine Learning Engineer with nine years of experience building production ML systems across startups and Fortune 500s, now leading a 23-person team delivering computer vision and GenAI at scale. He maintains widely used open-source ML projects (collectively reaching up to 35M monthly downloads) and publishes peer-reviewed work in venues like ICASSP and SPIE. His cross-industry experience spans medtech, fintech, energy and consumer products, including deploying ML in FDA trials and smart plugs that supported a £4.5M raise. A serial founder and CTO of early-stage healthtech ventures, he combines hands-on engineering, cloud migrations that cut six-figure costs, and go-to-market delivery for enterprise contracts. Outside work he applies the same pattern-finding skills to jazz piano, competitive-level piano performance, and an extensive Rubik’s cube collection — and he runs SafeLlama to advance AI safety and security.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Statistics, Biology, Computer Science minor, Bachelor of Science - BS, Statistics, Biology, Computer Science minor at University of Minnesota
Master's of Science, Electrical and Computer Engineering, Master's of Science, Electrical and Computer Engineering at Marquette University
Contributions:2 reviews, 40 commits, 24 PRs in 4 months
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Enoch Kan - Lead Machine Learning Engineer at SafeLlama