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 11 years of experience applying mathematical rigor to real-world ML problems. He moved from research and data science roles at deepsense.ai and Allegro.pl to architecting deep learning solutions at NVIDIA, blending production-grade engineering with strong theoretical foundations. Jan holds advanced degrees in mathematics and econometrics and completed PhD research on data-driven rating systems for association football, highlighting an uncommon mix of sports analytics and algorithm design. He has a track record of turning research ideas into deployable models and mentoring students as a university tutor. Colleagues value his ability to translate complex statistical concepts into efficient, scalable code. Fluency across academia and industry allows him to navigate both experimental research and high-performance product development.
11 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 (42)
machine-translation10
benchmark10
text-to-speech10
speech-synthesis10
multimodal10
large-language-models10
automatic-speech-recognition10
speech10
ai10
asr10
generative-ai10
speaker-recognition10
iterative9
benchmarking9
deep-learning9
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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