Colin Manko is a data engineer with seven years of experience building analytics pipelines and ML-driven systems, currently based in the Atlanta metro area. He has progressed through roles from marketing analytics and SEO to senior data engineering and brief management at Begin, and now contributes to People Data Labs' data platform work. Colin blends practical engineering with machine learning research—his open-source Texas Hold'em AI showcases expertise in clustering, game-state analysis, and regret-based search for imperfect-information games. Comfortable working cross-functionally, he has a track record of migrating platforms, improving organic growth, and turning complex data into actionable insights. Collected experience across startups and in-house leadership gives him a pragmatic, research-informed approach to solving data problems at scale.
6 years of coding experience
6 years of employment as a software developer
University of Georgia - Franklin College of Arts and Sciences
Contributions:171 commits, 33 PRs, 135 pushes in 4 months
Contributions summary:Colin primarily contributed to the development of a Texas Hold'em AI, focusing on implementing machine learning techniques for the game. Their work included adjusting blinds and implementing clustering algorithms to analyze and understand the game state, specifically for the river, turn, and flop. These contributions suggest a focus on improving the AI's decision-making capabilities through data analysis and machine learning.
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Contributions:13 pushes, 7 branches in 2 years 11 months
deep-learningpytorchmicrograd
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