Sergei Shutov
Computer Vision Engineer at FitWise AI
Helsinki, Finland
Summary
🤩
Rockstar🎓
Top SchoolSergei Shutov is a computer vision and deep learning engineer with six years of hands-on experience building and productionizing CV pipelines, from object detection and tracking to face recognition and multilingual image captioning. He blends research and engineering—contributing to OpenCV and improving aruco tutorials—while porting Python prototypes to optimized C++/TensorRT deployments for real-time systems. His work spans multi-modal transformers, multi-channel (UV/IR) imagery, OCR integration, and participation in the NIST FRVT challenge, reflecting both rigorous evaluation and practical performance tuning. Based in Helsinki, he excels at bridging research-grade models and deployable solutions, with a strong emphasis on reproducibility, distributed training, and inference efficiency.
6 years of coding experience
5 years of employment as a software developer
Incomplete Higher Education (4 courses), Incomplete Higher Education (4 courses) at Saint Petersburg State UniversityBachleor, Radio Engineering, Audiovisual engineering, Bachleor, Radio Engineering, Audiovisual engineering at Saint Petersburg State University of Cinema and TelevisionLaboratory of Continuous Mathematical Education
English, Russian, Finnish
Github Skills (4)
opencv10
cprogramming-language10
c-language10
computer-vision10
Programming languages (6)
Github contributions (5)
opencv/opencv_contrib
Dec 2022 - Dec 2022
Repository for OpenCV's extra modules
Role in this project:
Backend Developer
Backend DeveloperContributions:15 commits, 6 PRs in 3 days
Contributions summary:Sergei primarily focused on fixing and improving tutorials and example code within the aruco module. Their commits addressed issues in `detect_markers.cpp` and `detect_board.cpp`, correcting errors and enhancing functionality. They also refactored the code to extract the coordinate system setting from the loop body, making the code more efficient. Additionally, the user updated calibration tutorials and FAQs, and marked deprecated methods.
pythoncmakecppcomputer-vision
stopmosk/opencv
Dec 2022 - Jul 2024
Open Source Computer Vision Library
Contributions:42 pushes, 11 branches in 1 year 7 months
pythonvisioncomputer-visionc-plus-plusimage-processing
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