Paul Komarov
Manager - Endpoint Technology & Strategic Relationships
Charlotte Metro United States
Summary
🤩
Rockstar🎓
Top SchoolPavel Komarov is a research-driven engineer specializing in the mathematics behind signal processing, control theory, and machine learning, with a decade of experience spanning academia, defense, and health-tech. Currently a Graduate Research Assistant at the University of Washington and a PhD candidate in Electrical Engineering, he brings hands-on expertise from roles as Principal Data Scientist and Machine Learning Engineer where he led applied ML, cloud deployments, and study design. He excels at translating deep theoretical insight into elegant, practical solutions—whether building anomaly detection and sensor-fusion systems or simplifying complex data pipelines. Pavel’s background includes teaching at Georgia Tech and production ML work at startups and established firms, reflecting a rare blend of clear pedagogy and production rigor. Outside work he pursues problem-focused curiosity—skiing, climbing, and getting lost in math—which fuels both his creativity and collaborative approach.
10 years of coding experience
Middle Tennessee State University (MTSU)
English, Russian
Stackoverflow
1,197reputation
199kreached
32answers
38questions
Github Skills (200)
notebook10
gradient-descent10
python10
spotify-api10
regression10
numerics10
gtk10
deep-learning10
spotify10
recall10
javascript10
qt10
scikit10
statistics10
api10
Programming languages (10)
Github contributions (5)
pavelkomarov/pavelkomarov.github.io
May 2018 - Mar 2025
Contributions:211 pushes, 1 branch, 14 comments in 6 years 11 months
pavelkomarov/exportify
Jun 2019 - Oct 2022
Export Spotify playlists using the Web API. Analyze them in the Jupyter notebook.
Contributions:5 reviews, 124 commits, 5 PRs in 3 years 4 months
apidata-analysispythonexportjavascript-promise
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