Vadim Pisarevsky
Software Architect at YADRO
Russia
Summary
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Rockstar🎓
Top School
Top expert inAutonomous Robotics and Computer Vision Development
Vadim Pisarevsky is a software architect with 13 years of hands-on experience specializing in computer vision, image processing and performance optimization. He has driven vision engineering at companies including Huawei, Intel and YADRO, and contributed significant backend improvements to the flagship OpenCV project—accelerating algorithms like FAST and Haar classifiers with OpenCL and Neon intrinsics. His background spans individual contributor, team lead and principal roles, blending low-level optimization, test automation and sample maintenance across opencv_contrib modules. A master’s in computational and applied mathematics underpins his pragmatic approach to algorithmic problems, and his career shows a consistent pattern of turning research-grade vision algorithms into production-ready, hardware-accelerated implementations.
13 years of coding experience
20 years of employment as a software developer
Master’s Degree Computational and Applied Mathematics, Master’s Degree Computational and Applied Mathematics at Nizhniy Novgorod State University
Stackoverflow
119reputation
4kreached
1answer
0questions
Github Skills (10)
opencl10
opencv10
computer-vision10
c-language10
cprogramming-language10
image-processing10
testing9
neon9
build-system8
oop6
Programming languages (3)
Github contributions (5)
opencv/opencv_contrib
Jun 2014 - Jan 2021
Repository for OpenCV's extra modules
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:28 reviews, 351 commits, 150 PRs in 6 years 8 months
Contributions summary:Vadim primarily focused on fixing compile errors and warnings within the `opencv_contrib` repository, specifically in the `rgbd` and `reg` modules, indicating involvement with computer vision algorithms. They addressed issues related to RGBD compilation, separated image codecs, and made changes to test files, suggesting a role in both development and testing. Additionally, the user added and maintained several samples.
pythoncmakecppcomputer-vision
opencv/opencv
Oct 2012 - Jun 2022
Open Source Computer Vision Library
Role in this project:Backend Developer
Backend DeveloperContributions:592 reviews, 2212 commits, 540 PRs in 9 years 9 months
Contributions summary:Vadim made significant contributions to the OpenCV library, particularly in the areas of computer vision and image processing. Their commits focused on improving the performance and functionality of existing algorithms, such as the FAST corner detector and the Haar classifier, by integrating OpenCL and Neon intrinsics for hardware acceleration. They also worked on enhancing the capabilities of the program by introducing new features such as the ability to clip the results from the algorithm, and addressed a specific issue related to the performance of the Hough transform.
pythonvisiondeep-learningc-plus-pluscomputer-vision
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