Data Scientist · ML Engineer · Recommender Systems Researcher
I built my career on mathematics and statistics, first applying them in data science and now in ML engineering. At Sky, I design production systems while working closely with teams that develop and evaluate models. I’m also pursuing a PhD in recommender systems at Czech Technical University, where I bring together mathematics, computer science, and user research to study whole-page recommendations.
October 28, 2026
I used to dismiss Git worktrees as a waste of disk space I had no use for. Then uv made separate Python environments cheap, AI coding agents gave me a reason to work in parallel, and I went all in, until I found out that my brain is still single-threaded.
Read More →May 7, 2026
At ML Prague 2026, Bogdan and I led a workshop on how recommender systems can be improved with generative models. We covered extending item metadata and transformer-based recommendation models, and planned to discuss generating a whole page.
Read More →November 26, 2025
Python makes it easy to build and explore ideas, but performance-critical work often runs in native code. I found that Rust, PyO3, and Maturin made it practical to bring that speed into my whole-page recommender.
Read More →August 7, 2025
If you've ever opened your favorite app—whether for videos, music, shopping, or beyond—you’ve likely seen multiple rows—or "carousels"—of recommendations: “Keep Watching,” “Just for You,” “Hot Right Now,” and so on. Yet, much of the academic research out there still focuses on a single ranked list—a single column of suggestions.
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