Artur Kulikowski is a Senior C/C++ developer and team lead based in Gdańsk with 7 years of professional experience building embedded, backend and AI-inference tooling. He has progressed from embedded passenger-information and recorder systems to R&D roles and AI frameworks, contributing to OpenVINO by refactoring the ngraph Python API and improving ONNX frontend support for operations like PriorBox and DetectionOutput. Comfortable across C++, Qt/QML, gRPC, Docker and cloud-friendly backends, he blends low-level systems thinking with practical service and web development. At NAVTOR he now leads teams delivering production-grade C++ software, after driving framework-level fixes at Intel and feature-rich products at Autronica. He often works at the intersection of networking, rendering and model interoperability, a pattern that reveals both a systems mindset and attention to long-lived maintainability. Colleagues describe him as a pragmatic engineer who moves legacy codebases forward while enabling modern AI deployment paths.
7 years of coding experience
9 years of employment as a software developer
Magister Elektronika i Telekomunikacja, Magister Elektronika i Telekomunikacja at Uniwersytet Technologiczno-Przyrodniczy im. Jana i Jędrzeja Śniadeckich w Bydgoszczy
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Role in this project:
Back-end Developer
Contributions:127 reviews, 40 commits, 69 PRs in 1 year 2 months
Contributions summary:Artur's contributions focused on refactoring and improving the compatibility of the ngraph python API within the OpenVINO toolkit. They removed an opset from the ngraph python API. Other commits involved improving and extending the ONNX frontend for specific operations like `PriorBox`, `DetectionOutput`, and `MatrixNms`, and they fixed issues related to ONNX model imports. This included refactoring and fixes in the core OpenVINO components.
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