Pawel Cyrta is a founder and seasoned AI/ML applied research scientist with 14+ years specializing in speech, music and audio technologies, currently consulting and running startups focused on voice data and annotation. He has led research and engineering across ASR, TTS, speaker recognition/diarization, audio event detection and synthetic voice technologies for companies from Samsung and Rev.com to startups like BabbleLabs and Tooploox. Pawel blends deep academic training in computational engineering with hands-on systems work in Python, PyTorch, C/C++ and HPC to move models from research prototypes into production. He also builds practical tooling and datasets—through DataLabeling.EU and Stenograf—that address the real-world bottlenecks of speech products. A former lecturer and cross-disciplinary practitioner, he brings uncommon expertise in psychoacoustics, room acoustics and interactive sound design that informs robust audio ML. Based in Warsaw, he’s equally comfortable designing research roadmaps or shipping scalable speech pipelines for commercial deployments.
14 years of coding experience
14 years of employment as a software developer
Master of Science - MS, Computer Systems and Network, Master of Science - MS, Computer Systems and Network at Warsaw University of Technology
Master of Science - MS, Computational Engineering, Master of Science - MS, Computational Engineering at University of Warsaw
Phd, AGH Cyfronet, Phd, AGH Cyfronet at AGH University of Krakow
majored in linguistics and literature, majored in linguistics and literature at V L.O. im. ks. J. Poniatowskiego (High School)
Contributions:11 commits, 6 pushes, 1 branch in 15 days
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