Sergey Lyubimtsev
Software Engineer at Intel Corporation
Russia
Summary
🤩
Rockstar🎓
Top SchoolSergey Lyubimtsev is a software engineer with about 5 years of focused experience in build and infrastructure engineering, currently working at YADRO and with a long-standing affiliation at Intel. He specializes in DevOps-driven improvements to complex C++/AI toolchains, contributing to the open-source OpenVINO project where he streamlined CMake install rules, dependency handling, and environment setup for AI inference deployments. Sergey combines a formal engineering background from NSTU with a master’s in business informatics from HSE, giving him both technical depth and an appreciation for production workflows and tooling ergonomics. His track record shows he favors pragmatic fixes that reduce friction for developers and integrators—fixing build paths, integrating TBB, and exporting reliable environment variables to simplify deployments. Colleagues value him for quietly improving developer experience in high-stakes, performance-sensitive toolchains.
5 years of coding experience
5 years of employment as a software developer
Engineer's Degree, Computer Science, Engineer's Degree, Computer Science at Nizhniy Novgorod State Technical Universitynamed after R.Y. Alekseev (NSTU)Master's Degree, Business informatics, Master's Degree, Business informatics at Higher School of Economics
English
Stackoverflow
1reputation
39reached
0answers
1question
Github Skills (8)
cmake10
devops10
openvino10
build-automation10
cicd10
tbb9
compiler8
python6
Programming languages (3)
Github contributions (5)
openvinotoolkit/openvino
Oct 2020 - Mar 2022
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Role in this project:
DevOps Engineer
DevOps EngineerContributions:238 reviews, 77 commits, 78 PRs in 1 year 5 months
Contributions summary:Sergey's commits primarily focus on enhancing the build processes and infrastructure of the OpenVINO project. They contributed to CMake installation rules, especially for third-party components and dependencies, as well as fixing build paths and improving the integration of various tools like TBB. The user also made significant changes to the setup scripts, specifically setupvars, to export essential environment variables. Their work streamlined the build and deployment processes within the OpenVINO project.
inference-enginepytorchmodel-optimizerdeep-learninggpu
slyubimt/openvino
Oct 2020 - Apr 2022
OpenVINO™ Toolkit repository
Contributions:3 PRs, 298 pushes, 109 branches in 1 year 5 months
pytorchdeep-learninggpuopenvino-toolkitcomputer-vision
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