Szymon Durawa
Senior Software Engineer at Nippon Seiki (Europe) B.V.
Gdynia, Pomeranian Voivodeship, Poland
Summary
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Rockstar🎓
Top SchoolSzymon Durawa is a Senior Software Engineer based in Gdynia, Poland, with over a decade of embedded and systems-level engineering experience and five years in senior roles. He has strong automotive and hardware bring-up expertise, currently shaping HUD architecture and leading technical efforts at Nippon Seiki (Europe). Previously he developed Windows drivers at Intel and low-level DSP/ARM software at RADMOR, demonstrating deep C/C++ skills across KMDF/WDM and real-time embedded platforms. An active contributor to the high-profile OpenVINO open-source toolkit, he has improved test automation, added functional tests and dynamic shape validation for LSTM operations—showing a knack for making complex AI inference stacks more reliable. Colleagues would describe him as a pragmatic problem solver who blends hands-on debugging (including reproducing hardware bugs) with test-driven improvements and cross-site collaboration. He holds an MS in Computer Electronic Systems from the Technical University of Gdańsk.
5 years of coding experience
10 years of employment as a software developer
MS, Computer Electronic Systems, 5, MS, Computer Electronic Systems, 5 at Technical University of Gdańsk
English, german (intermediate)
Github Skills (10)
graph10
c-language10
cprogramming-language10
testing10
openvino9
ai8
computer-vision7
deep-learning7
inference6
deeplearning-ai6
Programming languages (2)
Github contributions (5)
openvinotoolkit/openvino
Jul 2020 - Dec 2021
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:305 reviews, 34 commits, 41 PRs in 1 year 5 months
Contributions summary:Szymon primarily refactored and updated existing test suites within the repository, specifically changing tests to use the `TestCase` class. This involved modifications to test files, focusing on improving testing structure and potentially test coverage. The user also implemented dynamic shape validation and test properties for LSTM-related operations, adding new test cases and exception assertions. Further contributions included adding functional tests and removing layer creators for various operations.
inference-enginepytorchmodel-optimizerdeep-learninggpu
sdurawa/openvino
Jul 2020 - Jan 2022
OpenVINO™ Toolkit repository
Contributions:228 pushes, 45 branches in 1 year 5 months
pytorchdeep-learninggpuopenvino-toolkitcomputer-vision
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