Piotr Gabryś is a Senior ML Scientist with nearly a decade of hands-on experience building data-driven products and leading teams to deliver production-ready models. He has progressed from analyst roles to leading ML at Gyfted and now drives machine learning work at Snowflake, with deep expertise in knowledge graphs and predictive modeling. Piotr combines business-first thinking with technical rigor, preferring the right tools for each problem and ensuring solutions meet real-world needs. He holds advanced training in quantitative methods and Big Data from SGH Warsaw School of Economics and frequently explores AI topics in side projects on GitHub and Kaggle. Colleagues describe him as someone who balances curiosity and discipline—studying AI obsessively outside work while keeping teams focused on impact.
9 years of coding experience
11 years of employment as a software developer
Postgraduate, Data engineering - Big Data, Postgraduate, Data engineering - Big Data at SGH Warsaw School of Economics
Package for training Generalized Mixture Transition Distribution (MTDg) models
Contributions:297 commits, 16 PRs, 211 pushes in 5 months
mixturetransitiondistributiontrainingmarkov-chain
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