Paweł Daniluk
Principal Data Scientist
Warsaw, Masovian Voivodeship, Poland
Summary
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Senior🎓
Top SchoolPaweł Daniluk is a Principal Data Scientist with 11+ years blending academic rigor and industrial impact across Poland and the US, holding a PhD in Computer Science (Bioinformatics) from the University of Warsaw. He specializes in mathematical modeling, combinatorial optimization, and low-latency audio/DSP systems, driving production ML for anomaly detection, speaker recognition and real-time speech enhancement at Samsung. Equally fluent in Python and C/C++, he designs algorithms that run on constrained hardware—optimizing DNNs for microcontrollers and embedded audio pipelines. His background spans research roles at Lawrence Livermore and UC Davis to applied medical signal processing for sleep staging, reflecting an ability to move ideas from theory to robust deployments. Notably, he combines deep algorithmic thinking with hands-on DSP and embedded system implementation, which makes him effective at squeezing performance out of real-time audio systems.
11 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Bioinformatics, Doctor of Philosophy (PhD), Computer Science, Bioinformatics at University of Warsaw
Polish, English, RussianProgramming languages (1)
Github contributions (3)
pawelld/webias
Apr 2015 - Oct 2015
Contributions:31 commits, 31 pushes, 1 branch in 6 months
pawelld/CUDA-MS
Mar 2017 - Mar 2017
Contributions:3 commits, 2 pushes, 1 branch in 17 days
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