Radek Bartyzal
Recommendation Team Lead
Prague, Prague, Czechia
Summary
👤
Senior🎓
Top SchoolRadek Bartyzal is a Recommendation Team Lead with 11 years of experience building and shipping production ML systems that serve millions of users across 10+ countries. He architected and optimized a homegrown recommender that improved GMV by double-digit percentages and consistently delivers sub-100ms recommendation latencies at the 99th percentile. Radek leads a small engineering team through the full ML lifecycle—from research and model design to deployment, AB testing and monitoring—while driving cross-company prioritization and hiring. His background spans deep learning for tagging and CV, scalable matrix factorization, and quantitative trading models, reflecting a strong focus on interpretability and robustness in high-stakes production environments. He also founded a university ML reading club, signaling a continuous commitment to keeping the team close to academic advances.
11 years of coding experience
7 years of employment as a software developer
Master’s Degree, Faculty of Information Technology - Machine Learning, Department of Applied Mathematics, Master’s Degree, Faculty of Information Technology - Machine Learning, Department of Applied Mathematics at Czech Technical University in Prague
Czech, English
Github Skills (16)
classification9
implicit9
collaborative-filtering9
matrix-factorization9
sparse-matrix8
recommender-system8
filtering7
recommendation-system7
deep-learning6
machine-learning6
api6
python6
image-classification6
datasets6
garbage5
Programming languages (1)
Github contributions (5)
BartyzalRadek/MLNotes
Jul 2016 - Mar 2021
Contributions:145 commits, 146 pushes, 1 branch in 4 years 8 months
BartyzalRadek/deep-recommender
Mar 2018 - Sep 2018
Contributions:223 pushes, 1 branch, 1 comment in 5 months
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