Vladislav Samsonov
AI Researcher at Polarr
United States
Summary
👤
Senior🎓
Top SchoolVladislav Samsonov is an AI researcher and engineer with 15 years of experience applying computer vision, theoretical machine learning, and statistical modeling to product-grade software. Currently at Polarr, he blends research rigor with practical engineering to improve imaging and visual intelligence features, drawing on prior R&D roles at Prisma Labs and image-ranking work at Yandex. He has hands-on contributions to OpenCV (including optical flow, DCT basis integration, covariance modeling and CLAHE) from Google Summer of Code and ongoing open-source involvement, reflecting deep competency in low-level vision algorithms. Comfortable moving between theory and production, he also has experience improving test diagnostics at Facebook and quantitative systems work in finance. Trained at MIPT and Yandex School of Data Analysis, he combines a strong mathematical foundation with a pragmatic focus on deployable vision systems. An uncommon strength is his track record of shipping both research advances and robust back-end implementations for widely used vision toolkits.
15 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Moscow Institute of Physics and Technology (State University) (MIPT)Master's degree, Mathematics and Computer Science, Master's degree, Mathematics and Computer Science at Yandex School of Data Analysis
English, Russian
Github Skills (8)
computer-vision10
opencv10
c-language10
cprogramming-language10
optical-flow10
implement9
algorithm9
algorithms9
Programming languages (2)
Github contributions (5)
opencv/opencv_contrib
May 2016 - Jul 2017
Repository for OpenCV's extra modules
Role in this project:
Back-end Developer
Back-end DeveloperContributions:31 commits, 4 PRs, 24 comments in 1 year 2 months
Contributions summary:Vladislav implemented a naive block matching algorithm and added boilerplate code for pcaflow within the OpenCV contrib repository, specifically focusing on the modules related to optical flow. The user also contributed to flow estimation by incorporating a DCT basis and adding improvements to the existing codebase. Further contributions include the addition of a covariance matrix and a CLAHE function.
pythoncmakecppcomputer-vision
VladX/opencv_contrib
Jun 2017 - Mar 2018
Contributions:22 commits, 4 PRs, 101 pushes in 9 months
pythoncomputer-vision
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.