Karolina Sankiewicz
Cloud Software Engineer at Intel Corporation
Gdansk Metropolitan Area Poland
Summary
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Rockstar🎓
Top SchoolKarolina Sankiewicz is a Cloud Software Engineer with seven years at Intel in Gdańsk, progressing from IT admin and systems programmer roles into cloud-focused development and automation. She blends a strong mathematics foundation (B.E. and M.Sc.) with postgraduate training in web applications to solve complex infrastructure problems. At Intel she focuses on CI/CD and build automation, notably contributing to the OpenVINO model server by parallelizing builds, integrating tests across OSes, and refining branch build policies. Her work sits at the intersection of DevOps and systems engineering, accelerating model deployment pipelines for production inference. Colleagues would describe her as detail-oriented and pragmatic, able to translate mathematical rigor into reliable, automated cloud workflows.
7 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering (B.E.), Faculty of Applied Physics and Mathematics, Mathematics, Bachelor of Engineering (B.E.), Faculty of Applied Physics and Mathematics, Mathematics at Gdańsk University of Technology
English, Polish
Github Skills (11)
jenkins10
kubernetes10
automation10
jenkins-ci10
docker10
automations10
dockers10
kubernetes-pods10
cicd10
ai7
machine-learning7
Programming languages (3)
Github contributions (5)
openvinotoolkit/model_server
Jul 2020 - Nov 2021
A scalable inference server for models optimized with OpenVINO™
Role in this project:
DevOps Engineer & Automation Engineer
DevOps Engineer & Automation EngineerContributions:8 commits, 9 PRs, 17 pushes in 1 year 4 months
Contributions summary:Karolina's contributions center on enhancing the continuous integration and continuous deployment (CI/CD) pipeline for the OpenVINO model server. Their work involves modifying build configurations to include tests, parallelizing builds across different operating systems, and integrating build jobs for recompilation. The user is also responsible for updating the build policies on the main and develop branches. These changes demonstrate a focus on automation and streamlined build processes for the project.
pytorchscalableservingdeep-learningdag
intel/inference-model-manager
Aug 2018 - Mar 2019
Inference Model Manager for Kubernetes
Contributions:21 commits, 14 PRs, 54 pushes in 7 months
kubernetesinferencemachine-learning
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