Sergei Nosov
Software Engineering Manager at Intel Corporation
Nizhny Novgorod, Nizhny Novgorod Oblast, Russia
Summary
🤩
Rockstar🎓
Top SchoolSergei Nosov is a Software Engineering Manager with 14 years of experience leading R&D teams in computer vision at Intel, based in Nizhny Novgorod. He combines hands-on technical depth—evident from early roles at Itseez and contributions as a QA/test automation engineer to the high-profile OpenCV project—with leadership in shipping robust vision systems. His work focuses on improving reliability and performance of vision test suites, reflecting a hacker’s curiosity applied to production-grade quality assurance. Sergei holds a Master's degree in Computer Science from UNN and has progressed from an undergraduate intern to a manager within the same industry-leading organization. Known as an "old-time old-school hacker" on GitHub, he brings pragmatic, low-level insight to modern CV research and engineering challenges. Colleagues rely on him to balance experimental R&D with disciplined delivery and measurable performance improvements.
13 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
Stackoverflow
1,635reputation
224kreached
35answers
0questions
opencv
top-5%
Github Skills (12)
computer-vision10
opencv10
c-language10
cprogramming-language10
test-automation10
image-processing9
video-capture6
template-metaprogramming6
python6
compile-time6
dmd6
image6
Programming languages (9)
Github contributions (5)
opencv/opencv
Jun 2013 - Jul 2016
Open Source Computer Vision Library
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:6 commits, 2 PRs, 63 comments in 3 years 1 month
Contributions summary:Sergei primarily contributes to the project by adding tests and fixing issues related to the reliability of the OpenCV library's performance tests. The commits involve modifying existing performance tests by adding multiple runs, and adjusting the test conditions to improve stability. The user also introduces new tests to address specific problems. These changes indicate a focus on quality assurance and performance optimization within the OpenCV codebase.
pythonvisiondeep-learningc-plus-pluscomputer-vision
snosov1/ctags-d
Dec 2012 - Nov 2014
Contributions:8 commits in 1 year 11 months
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