Jan Lasek
Senior Deep Learning Algorithms Engineer at NVIDIA
Warsaw, Masovian Voivodeship, Poland
Summary
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Rockstar🎓
Top SchoolJan Lasek is a Senior Deep Learning Algorithms Engineer based in Warsaw with ten years of experience building and deploying machine learning solutions across research and production settings. He combines rigorous mathematical training—multiple master’s degrees and a PhD on data-driven rating systems for association football—with hands-on algorithm development, turning probabilistic and statistical insights into scalable deep learning models. His career spans applied research and product-focused roles at Allegro and deepsense.ai and now algorithm work at NVIDIA, reflecting fluency across academia, startups, and large-scale engineering. Little obvious from titles alone: his PhD on sports ranking highlights deep expertise in modeling temporal rankings and uncertainty, skills he leverages when designing robust, production-ready ML algorithms.
10 years of coding experience
7 years of employment as a software developer
Master's degree, Mathematics, Master's degree, Mathematics at Vrije Universiteit AmsterdamDoctor of Philosophy - PhD. Thesis title: New data-driven rating systems for association football, Computer Science, Doctor of Philosophy - PhD. Thesis title: New data-driven rating systems for association football, Computer Science at Institute of Computer Science, Polish Academy of SciencesMaster's degree, Mathematics, Master's degree, Mathematics at University of Warsaw
Polish, English, German
Github Skills (48)
speaker-diarization10
speech-to-text10
machine-translation10
benchmark10
language-model10
speech-synthesis10
deeplearning10
multimodal10
large-language-models10
nmt10
text-normalization10
deep-learning10
neural-networks10
generative-ai10
speaker-recognition10
Programming languages (1)
Github contributions (5)
janekl/league-formats-efficacy
Apr 2018 - Dec 2018
Contributions:22 commits, 14 pushes, 1 branch in 7 months
janekl/iterative-rating-systems
Jan 2020 - Mar 2021
This project contains implementation of several accurate, intuitive and easy to maintain iterative sports rating systems illustrated by the example of association football (soccer).
Contributions:30 commits, 5 PRs, 25 pushes in 1 year 2 months
associationfootballratingiterativeintuitive
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