Vadym Stupakov
Senior Computer Vision Engineer at Samsung Electronics Ukraine
Ukraine
Summary
🤩
Rockstar🎓
Top SchoolVadym Stupakov is a Senior Computer Vision Engineer with 11 years of experience building deep learning and image-processing solutions, currently driving CV projects at Samsung Electronics Ukraine. He combines strong systems-level C/C++ and Python skills with practical ML expertise, having started his career in kernel and firmware work and progressed into production-ready deep learning systems. Vadym has contributed to notable open-source tooling for Linux power management, improving AMD temperature monitoring and efficiency in the popular auto-cpufreq project, which reflects his attention to performance and low-level detail. His background spans R&D and startup environments, enabling him to translate research into robust, optimized implementations for embedded and server cameras.
11 years of coding experience
7 years of employment as a software developer
Master's degree, Engineer in Electronics and Telecommunications, 80, Master's degree, Engineer in Electronics and Telecommunications, 80 at Dnipropetrovs'kij Nacional'nij Universitet
English, Украинский, Русский
Stackoverflow
2,102reputation
2.1mreached
53answers
8questions
Github Skills (26)
python10
linux10
system-monitoring9
script8
bash8
power-management8
toolbox7
monitoring7
tooling7
daemon7
cpu7
turbo7
automatic7
daemons7
toolz7
Programming languages (10)
Github contributions (5)
AdnanHodzic/auto-cpufreq
Aug 2020 - Jan 2021
Automatic CPU speed & power optimizer for Linux
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 reviews, 27 commits, 17 PRs in 5 months
Contributions summary:Vadym primarily focused on enhancing the core functionality of the auto-cpufreq tool, specifically addressing AMD-related issues and improving its performance. They refactored and fixed core temperature monitoring for AMD processors and implemented solutions for more efficient power management. The contributions also involved refactoring the code, reducing subprocess calls, and improving code clarity. The user also implemented features such as a debug option and added sensor information for more detailed output.
cpumonitorbatteryspeeddaemon
Red-Eyed/cocoapi
Feb 2020 - Dec 2022
Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3
Contributions:1 release, 10 pushes, 2 branches in 2 years 11 months
apidataset-apiwindowscocodataset
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.