Roman Khomenko is a Builder of Thinking Machines with a decade of experience designing and deploying practical AI systems, currently leading that effort at 9 Mothers after eight years as Lead AI Data Scientist at Rainforest QA. He blends deep applied ML and data science expertise from roles at DataRobot and Rainforest QA with a strong engineering and security background cultivated during long-term consulting and security research at DisOpt.com. Based in San Francisco but rooted in Ukrainian technical education (Master's in Computer Science from Kharkiv National University of Radio Electronics), he brings a disciplined, investigation-driven approach informed by earlier service in the Police of Ukraine. An active Kaggle participant and GitHub contributor, Roman focuses on turning ML experiments into reliable production pipelines and interpretable models. Colleagues describe him as a pragmatic builder who favors measurable impact over academic novelty, with a knack for bridging security-aware engineering and real-world AI product needs.
10 years of coding experience
23 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Kharkiv National University of Radio Electronics
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