Piotr Kowalczyk
Software Engineering Manager at Solidigm
Gdańsk, Pomeranian Voivodeship, Poland
Summary
🤩
Rockstar🎓
Top SchoolPiotr Kowalczyk is a Software Engineering Manager based in Gdańsk with nine years of experience guiding teams and delivering production-grade software across Intel and Solidigm. He progressed from hands-on software development and validation roles into management, combining deep technical expertise with product-focused leadership. Piotr has made notable open-source contributions to the high-profile OpenVINO toolkit, improving GPU plugin ops like Slice and implementing dynamic shapes and ROIAlignRotated for AI inference. His background in systems engineering and telecommunications (MSc and BSc from Gdańsk University of Technology) gives him a strong foundation in low-level, performance-sensitive code and system validation. Colleagues know him for turning nuanced bug fixes and refactors into durable platform improvements, and for bridging the gap between validation, backend engineering, and delivery. He brings a pragmatic, detail-oriented approach to scaling both teams and complex inference systems.
9 years of coding experience
10 years of employment as a software developer
Master of Science (MSc) Informatyka Inżynieria Systemów i Bazy Danych, Master of Science (MSc) Informatyka Inżynieria Systemów i Bazy Danych at Gdańsk University of TechnologyLiceum Ogólnokształcące im. Stefana Żeromskiego w Bartoszycach
English
Github Skills (7)
gpu-programming10
computer-vision10
c-language10
cprogramming-language10
openvino10
deep-learning9
unit-testing8
Programming languages (1)
Github contributions (4)
openvinotoolkit/openvino
Jan 2024 - Mar 2025
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Role in this project:
Backend Developer
Backend DeveloperContributions:132 reviews, 45 PRs, 1 branch in 1 year 2 months
Contributions summary:Piotr primarily worked on the OpenVINO toolkit, contributing to the GPU plugin. Their commits focused on bug fixes and refactoring related to the SliceOp, addressing output shape calculations, unit tests, and deprecated tensor structures. They also implemented dynamic shape support for the SliceOp on the GPU. Further contributions included defining and implementing the ROIAlignRotated operation.
inference-enginepytorchmodel-optimizerdeep-learninggpu
pkowalc1/openvino
Jan 2024 - Apr 2025
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Contributions:339 pushes, 59 branches in 1 year 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.