Sr. AI/ML Engineer · Nike · Denver, Colorado
Ken Rapko
I build ML systems that ship — search ranking, computer vision pipelines, and the infra that holds them up. Sometimes I write about it.
Writing
Long-form, posted at kenrapko.substack.com.
Projects
Things I've built and kept building on.
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March Madness Microscope
Open-source toolkit for picking apart the NCAA tournament — historical bracket data, simulation, and the analysis behind the Anatomy of Madness series.
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LCHT Researcher
A live data platform I built and maintain for the Colorado Laboratory to Combat Human Trafficking. Curates and integrates publicly available datasets to inform education and funding decisions.
About
I started out as a mechanical engineer at Virginia Tech, drifted toward robotics and computer vision, and ended up writing software for a living. Five years at Lockheed Martin doing CV and ML R&D — multithreaded vision pipelines, geospatial toolkits, and a research project on Counter-Factual Regret Minimization that earned $100K of internal funding. A master's at Georgia Tech in computational perception along the way.
Now I'm at Nike, where I led the metadata pipeline for Google Search (DSPy-tuned prompts, +16% conversion in pilot) and run point on the team's MLOps infrastructure — Jenkins, Databricks Asset Bundles, AWS SAM, the kind of plumbing that makes ML actually reach production.
Outside of work I write at kenrapko.substack.com, mostly about sports analytics and prediction markets, and maintain a data platform for the Colorado Laboratory to Combat Human Trafficking.
Publications
Get in touch
For new work, ideas, or anything worth thinking about.