Michał Janik is a Senior Data Scientist with 7 years of experience specializing in machine learning, recommender systems, and large-scale experimentation, currently shaping personalization and search at Allegro. He builds end-to-end ML solutions—from model design through scalable PySpark/BigQuery implementations to production deployment—and architected Allegro’s in-house A/B testing platform used across dozens of teams. His work has driven measurable uplift in GMV via campaign recommenders, improved conversion through category-aware search, and applied reinforcement learning to homepage personalization. Michał combines hands-on engineering with mentorship and product collaboration, and while completing a Master’s in Machine Learning he retains a practical systems focus that bridges research and production.
7 years of coding experience
4 years of employment as a software developer
Engineer's degree Computer Science, Engineer's degree Computer Science at Wrocław University of Science and Technology
Master's degree Machine Learning, Master's degree Machine Learning at University of Warsaw
Contributions:27 commits, 8 PRs, 23 pushes in 13 days
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