Daniel Korzekwa

Deep Learning Manager at NVIDIA

Gdańsk, Pomeranian Voivodeship, Poland
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Summary

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Senior
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Top School
Daniel Korzekwa is a Deep Learning Manager with 15 years of experience building production-grade ML systems and teams across speech, NLP, and high-performance computing. He has led research-to-product efforts at Amazon—delivering speech synthesis and conversion technologies used by millions—and now focuses on AutoML and ML efficiency for TTS/ASR/NLP at NVIDIA. His background spans Bayesian and Gaussian-process modeling, real-time risk systems for betting, and large-scale distributed monitoring platforms, reflecting both strong research credentials (PhD in Machine Learning for Speech) and hands-on engineering in Scala, Java, and HPC environments. Known for growing research teams from scratch and publishing at major conferences, he combines academic rigor with pragmatic delivery at cloud and hardware scale. Based in Gdańsk, Poland, he brings a rare blend of deep speech expertise and systems-level engineering that accelerates ML models from prototype to high-throughput production.
code15 years of coding experience
bookDoctor of Philosophy - PhD, Machine Learning in Speech Processing, Doctor of Philosophy - PhD, Machine Learning in Speech Processing at Gdańsk University of Technology
bookMSc, Computer Science, MSc, Computer Science at Politechnika Śląska w Gliwicach
languagesPolish, English
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189reputation
6kreached
4answers
6questions
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Github Skills (67)

bayesian10
convert9
maximization9
pdf9
scala9
docx9
api8
markdown8
documents8
breeze8
evaluation8
xlsx8
machine-translation7
expectation-maximization7
statistics7

Programming languages (5)

C++ScalaHTMLJupyter NotebookPython

Github contributions (5)

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Contributions:221 commits, 6 pushes in 4 years 3 months
Contributions:2 commits, 1 push in 4 years 4 months
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Daniel Korzekwa - Deep Learning Manager at NVIDIA