Piotr Adamowicz
Cloud Software Engineering Manager at Intel Corporation
Gdansk Metropolitan Area Poland
Summary
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Rockstar🎓
Top SchoolPiotr Adamowicz is a cloud software engineering manager at Intel with 16+ years of experience leading multidisciplinary engineering and DevOps/validation teams to improve firmware and platform quality for data center and visual solutions. He has progressed from firmware and systems engineering to managing 15+ person teams responsible for CI/CD, bare-metal cloud validation, telemetry and end-to-end solution validation for Intel® Optane™ and next‑gen Xeon processors. Hands-on at heart, Piotr still contributes to open source—most notably enhancing Intel’s widely used OpenVINO toolkit by adding robust versioning and GNA 3.5 support for model export/import and unit tests. Based in the Gdansk metropolitan area, he combines an electronics and software engineering background with postgraduate software engineering and management training, enabling him to bridge hardware, firmware and cloud software concerns. Colleagues rely on him for pragmatic leadership that turns complex validation and release challenges into repeatable, automated processes.
3 years of coding experience
17 years of employment as a software developer
Postgraduate studies, Software Engineering, Postgraduate studies, Software Engineering at Gdańsk University of Technology
English, German, Polish
Github Skills (7)
c-language10
inference10
deep-learning10
cprogramming-language10
ai10
openvino10
testing10
Programming languages (1)
Github contributions (3)
openvinotoolkit/openvino
Oct 2022 - Jan 2023
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Role in this project:
Back-end Developer
Back-end DeveloperContributions:112 reviews, 5 commits, 59 PRs in 3 months
Contributions summary:Piotr primarily contributed to the Intel OpenVINO toolkit's GNA (Gaussian & Neural Accelerator) plugin, focusing on model export and import functionalities. Their work included adding versioning information to the GNA export files, enabling the storage and retrieval of OpenVINO and GNA library versions within exported models. The user also implemented and tested these changes, and added unit tests. Further contributions included enabling and testing the GNA 3.5 target.
inference-enginepytorchmodel-optimizerdeep-learninggpu
tadamowicz/openvino
Sep 2022 - Dec 2023
OpenVINO™ Toolkit repository
Contributions:243 pushes, 68 branches, 5 tags in 1 year 3 months
pytorchdeep-learninggpuopenvino-toolkitcomputer-vision
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