Kamil Magierski
Senior Software Engineer at Dynatrace
Gdansk Metropolitan Area Poland
Summary
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Rockstar🎓
Top SchoolKamil Magierski is a Senior Software Engineer based in the Gdansk metropolitan area with six years of professional experience specializing in deep learning software and performance engineering. He spent several years at Intel contributing to the open-source OpenVINO toolkit—improving GNA plugin precision, memory state handling, and unit-test alignment to boost AI inference reliability and performance. Now at Dynatrace, he brings low-level optimization experience and a pragmatic engineering mindset to production-scale systems. His background spans embedded automation, Python test automation, and .NET development, giving him a versatile toolset across back-end and systems work. Colleagues know him for tackling subtle correctness issues that yield measurable runtime and stability gains rather than only adding features.
5 years of coding experience
2 years of employment as a software developer
Magister (Mgr), Informatyka, Magister (Mgr), Informatyka at Politechnika GdańskaAGH University
Polish, English
Github Skills (13)
performance-tuning10
performance-analytics10
c-language10
performance-analysis10
performance-monitor10
performance-monitoring10
cprogramming-language10
openvino10
performance-measurement10
ai9
deep-learning9
computer-vision9
low-level-programming8
Programming languages (1)
Github contributions (5)
openvinotoolkit/openvino
Jun 2020 - Feb 2021
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Role in this project:
Back-end Developer & Performance Engineer
Back-end Developer & Performance EngineerContributions:118 reviews, 19 commits, 30 PRs in 7 months
Contributions summary:Kamil primarily contributed to the Intel OpenVINO toolkit, focusing on improving the GNA plugin. Their work involved fixing precision-related issues in the GNA plugin for optimized AI inference, addressing memory state implementations, and fixing errors in GNA2ModelGetLastError cases. The user also focused on aligning GNA2 and GNA unit testing and optimizing performance, along with addressing padding and size issues.
inference-enginepytorchmodel-optimizerdeep-learninggpu
kmagiers/openvino
May 2020 - Mar 2021
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
Contributions:163 pushes, 36 branches in 10 months
pytorchdeep-learningdeploymentopenvino-toolkitinference
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