Daniel Korzekwa
Deep Learning Manager at NVIDIA
Gdańsk, Pomeranian Voivodeship, Poland
Summary
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Rockstar🎓
Top SchoolDaniel 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.
15 years of coding experience
Doctor of Philosophy - PhD, Machine Learning in Speech Processing, Doctor of Philosophy - PhD, Machine Learning in Speech Processing at Gdańsk University of TechnologyMSc, Computer Science, MSc, Computer Science at Politechnika Śląska w Gliwicach
Polish, English
Stackoverflow
189reputation
6kreached
4answers
6questions
Github Skills (47)
tensorrt10
inference10
scala10
bayesian-network10
quantization10
neural-architecture-search10
convert9
llm9
docx9
statistics9
pdf9
deep-learning9
language-model8
html8
documents8
Programming languages (6)
Github contributions (5)
danielkorzekwa/bayes-scala
Oct 2012 - May 2016
Bayesian Networks in Scala
Contributions:2 releases, 432 commits, 7 PRs in 3 years 7 months
bayesian-networkscala
danielkorzekwa/betting-exchange-app
Jul 2011 - Oct 2015
Contributions:2 commits, 1 push in 4 years 4 months
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