Patrik Ohlsson
Senior Machine Learning Engineer at SVT
Sweden
Summary
👤
Senior🎓
Top SchoolPatrik Ohlsson is a Senior Machine Learning Engineer with 12 years of experience combining music composition, audio research, and production-grade ML engineering. Currently driving recommendation, personalization and content discovery at SVT Play, he previously led development of audio analysis, source separation and generative models at DoReMIR Music Research using PyTorch and TensorFlow. Trained as a composer (MA/BA in Composition), he uniquely blends musical craft with DSP and software engineering, having built audio engines, VST instruments and real-time processing systems in C/C++ and Python. He has taught audio technology at KTH and freelanced across music notation, graphics and mobile audio apps, bringing both academic rigor and product-focused delivery. Known for moving models from research into deployment, he is as comfortable tuning a recommender as composing for choir and orchestra.
12 years of coding experience
15 years of employment as a software developer
Master of Arts (M.A.), Composition Western Art Music, Master of Arts (M.A.), Composition Western Art Music at Kungliga musikhögskolan
Swedish, English
Github Skills (50)
python10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
twitter-streaming-api9
twitter-api8
tweetinvi8
twitter7
audio7
stream6
juce6
Programming languages (4)
Github contributions (5)
patrikohlsson/complex-ml-ops
Aug 2018 - May 2019
Contributions:10 pushes, 1 branch in 8 months
patrikohlsson/libtorch-wasm
Oct 2024 - Feb 2025
Contributions:12 pushes, 1 comment in 3 months
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