Piotr Wolnowski
AI Frameworks Engineer at Intel Corporation
Gdańsk, Pomeranian Voivodeship, Poland
Summary
🤩
Rockstar🎓
Top SchoolPiotr Wolnowski is an AI Frameworks Engineer at Intel with a decade-plus background developing safety-critical fire protection systems and embedded firmware across Carrier, GE Security and related R&D centers in Gdańsk. He combines deep expertise in IEC 61508-oriented high-reliability software, TDD and C++ with recent work on AI tooling—contributing accuracy-checking and post-processing improvements to the high-profile OpenVINO model zoo. Piotr favors minimal, well-defined designs inspired by Saint-Exupéry and brings hands-on experience across firmware, Linux-based control systems and CI/DevOps for model evaluation. Practical and curious, he bridges embedded safety engineering and AI framework integrations to deliver robust, auditable solutions.
3 years of coding experience
15 years of employment as a software developer
Master's degree, Electronics and telecommunications, Master's degree, Electronics and telecommunications at Wojskowa Akademia Techniczna w Warszawie
Github Skills (8)
eval10
deep-learning10
python10
evaluation10
openvino10
inference9
tensorflow7
compiler5
Programming languages (2)
Github contributions (4)
openvinotoolkit/open_model_zoo
Feb 2023 - Mar 2025
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:13 reviews, 40 PRs, 6 pushes in 2 years 1 month
Contributions summary:Piotr primarily contributed to the accuracy checker tools within the OpenVINO ecosystem, modifying several Python scripts related to model evaluation and post-processing. Their contributions included disabling assumptions for TensorFlow models, enhancing the reporting of accuracy metrics over time, and enabling the post-processing of SQuADv2 datasets. Furthermore, the user added support for new models and addressed various issues related to image processing and the handling of OpenVINO Runtime.
modelonnx-modelsdeep-learning-modelsmodel-zoopytorch-models
pwolnows/open_model_zoo
Feb 2023 - Apr 2023
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Contributions:7 pushes in 2 months
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