Łukasz Durka
DevOps Tech Lead Manager at Intel Corporation
Gdańsk, Pomeranian Voivodeship, Poland
Summary
🤩
Rockstar🎓
Top SchoolŁukasz Durka is a DevOps Tech Lead Manager based in Gdańsk with 8 years of experience in software and infrastructure engineering and a long tenure at Intel spanning roles from software developer to DevOps lead. He combines hands-on DevOps expertise—improving container networking, proxy detection, and build processes—with people leadership and delivery ownership for AI benchmarking and deployment. His work on Intel’s AI Reference Models demonstrates a pragmatic focus on developer experience and production-ready optimizations for deep learning on Xeon and Intel DC GPUs. Comfortable across back-end systems and CI/CD pipelines, he brings a systems-thinking approach born from a decade-plus career in enterprise engineering. Trained at Warsaw University of Technology in Information Technology, he pairs academic rigor with practical, incremental improvements that reduce friction for large engineering teams. Colleagues describe him as a detail-oriented problem solver who surfaces subtle infrastructure gaps and fixes them before they become blockers.
8 years of coding experience
13 years of employment as a software developer
Master’s Degree, Information Technology, Master’s Degree, Information Technology at Warsaw University of TechnologyUniwersytet Warmińsko-Mazurski w Olsztynie
English, Russian
Github Skills (13)
docker10
dockers10
cicd9
python9
inference8
deep-neural-networks7
tensorflow7
ai7
cpu7
deeplearning-ai7
performance-analysis7
deep-learning7
performance-monitor7
Programming languages (4)
Github contributions (5)
intel/ai-reference-models
Dec 2018 - Feb 2019
Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:14 commits in 1 month
Contributions summary:Łukasz's contributions primarily focus on enhancing the project's infrastructure and build processes, along with back-end logic. They introduced features for automatically detecting and exporting proxy settings to Docker containers. Furthermore, they integrated proxy settings into the environment variables, improving the container's network configuration. The user also merged and addressed minor code style issues. These changes improved the project's flexibility, maintainability and developer experience, indicating a strong grasp of the underlying infrastructure and build process.
optimizationsprocessorstensorflowzoomodel-zoo
NervanaSystems/movidius-workshop
Oct 2018 - Jul 2019
Contributions:4 commits, 3 PRs, 2 pushes in 9 months
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