Ruslan Barsukov
Senior Software Engineer at Intel Corporation
Nizhny Novgorod, Nizhny Novgorod Oblast, Russia
Summary
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Rockstar🎓
Top SchoolRuslan Barsukov is a Senior Software Engineer based in Nizhny Novgorod with seven years of focused engineering experience and a longer technical career spanning roles from development lead to project management. He currently works at YADRO and contributes at Intel, bringing hands-on expertise in back-end systems and low-level optimizations. Ruslan is an active open-source contributor to the high-profile OpenCV project, where he improved the G-API fluid backend—adding NV12 support, streamlining preprocessing pipelines, and refactoring internal data structures for performance and maintainability. His background includes senior roles at OS33 and Danfoss and earlier leadership as Head of Development, reflecting an ability to bridge individual contribution with team and project-level delivery. A strong foundation in computer science from Nizhny Novgorod Technical University complements his practical skills in resource management and buffer handling in performance-sensitive code. He combines systems-level thinking with a track record of shipping robust, optimized components in both commercial and open-source ecosystems.
7 years of coding experience
12 years of employment as a software developer
Бакалавр, Информатика и Вычислительная техника, 4,0, Бакалавр, Информатика и Вычислительная техника, 4,0 at Нижегородский Государственный Технический Университет им. Р.Е.Алексеева (НГТУ)
Английский
Stackoverflow
31reputation
7kreached
1answer
0questions
Github Skills (9)
computer-vision10
c-language10
cprogramming-language10
back-end-development10
image-processing10
cmake8
css6
font-face6
azure6
Programming languages (1)
Github contributions (5)
opencv/opencv
Oct 2018 - Mar 2022
Open Source Computer Vision Library
Role in this project:
Back-end Developer
Back-end DeveloperContributions:234 reviews, 44 commits, 43 PRs in 3 years 4 months
Contributions summary:Ruslan contributed to the GAPI (G-API) portion of the OpenCV library, focusing on enhancing the fluid backend. Their work includes adding NV12 support to the fluid backend, implementing and improving the pre-processing pipeline, and addressing several bug fixes related to buffer management and resource handling. The user also refactored internal data structures such as adding GMatP and removing unused functions/macros to improve efficiency and maintainability. These commits directly involved optimizing and expanding the functionality of the GAPI fluid backend.
computer-visionc-plus-plusdeep-learningimage-processing
rgarnov/opencv
Oct 2018 - Mar 2022
Open Source Computer Vision Library
Contributions:106 pushes, 53 branches in 3 years 4 months
pythonvisioncomputer-visionc-plus-plusimage-processing
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