Piotr Bielak
AI Frameworks Engineer at Intel Corporation
Lower Silesian Voivodeship, Poland
Summary
👤
Senior🎓
Top SchoolPiotr Bielak is an AI Frameworks Engineer and graph machine learning specialist with a freshly completed PhD and over a decade of hands-on experience building ML systems from research prototypes to production. He has authored novel graph representation methods (GBT, AttrE2vec, FILDNE) with 100+ citations and now contributes to the Deep Graph Library at Intel while leading a research group and teaching at Wrocław University of Science and Technology. Equally comfortable in research and engineering, he implements self-supervised and unsupervised GNNs, builds end-to-end ML pipelines, and practices DevOps/MLOps using tools like PyTorch, DVC, Hydra and Docker. Piotr’s background spans startups and industry (recommendation systems, financial risk and debt-collection models) as well as an academic visiting stint exploring weight-space models, showing a rare ability to translate cutting-edge ideas into scalable, production-ready solutions.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Wrocław University of Science and Technology
Polish, German, English
Github Skills (46)
cml9
geometric-deep-learning9
pytorch9
python9
machine-learning9
graph9
gpu9
unstructured-data9
deep-learning9
graph-neural-network9
graph-convolutional-networks9
data-models9
developer-tools9
version-control9
nlp8
Programming languages (9)
Github contributions (5)
pbielak/pytorch_geometric_edge
Jul 2022 - Dec 2022
Contributions:36 commits in 4 months
pbielak/dotfiles
Sep 2017 - Oct 2023
Configuration file e.g tmux, vim etc.
Contributions:2 PRs, 43 pushes, 3 branches in 6 years 1 month
configuration-filevimtmuxneovimdotfiles
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