Stanislav Kapulkin

CEO CTO at Independent research

Be'er Sheva, South District, Israel
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Summary

👤
Senior
🎓
Top School
Stanislav Kapulkin is a mathematician-programmer and serial technical founder with 10 years of experience applying ML, computer vision and category-theoretic ideas to real-world AI systems. As CEO/CTO of VIETE he focuses on building AI agents with deeper problem understanding to reduce errors and improve reliability, blending research rigor with product-minded execution. He teaches deep learning for computer vision, conducts independent research translating category theory for cognitive psychologists, and has hands-on experience deploying models in production across video tracking, NLP and speech tasks. His background spans low-level C/C++ systems, Unity game and VR software, blockchain smart contracts, and modern ML stacks (TensorFlow, PyTorch), evidencing rare full-stack fluency. Based in Be'er Sheva, Israel, he pairs a formal Applied Mathematics education from ITMO with practical startup leadership and R&D that bridges abstract theory and applied engineering. A distinctive thread in his career is adapting high-level mathematical concepts into usable tools for cognition and robust AI agents.
code10 years of coding experience
job11 years of employment as a software developer
bookComputer science, Computer science at Saint Petersburg Academic University
bookHigh school, High school, High school, High school at Saint Petersburg Lyceum 30
bookMaster's, Applied Mathematics And Informatics, Master's, Applied Mathematics And Informatics at ITMO University
languagesEnglish
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Github Skills (164)

keystrokes10
rendering9
webcam9
pinch9
audio9
stream9
android-sdk9
pan9
portrait9
cursor8
screencast8
azerothcore8
wpf8
mouse8
chocolatey8

Programming languages (9)

C#TypeScriptJavaC++CCMakeJavaScriptJupyter Notebook

Github contributions (5)

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PP22MotionLearning/MODNet

Feb 2022 - Feb 2022

A Trimap-Free Portrait Matting Solution in Real Time [AAAI 2022]
Contributions:33 commits, 25 pushes, 1 branch in 14 days
pytorchmattingportraitdeep-learningportrait-matting
MODNet-DPT/MODNet

May 2021 - Jun 2021

A Trimap-Free Solution for Portrait Matting in Real Time under Changing Scenes
Contributions:31 commits, 27 pushes, 1 branch in 26 days
portraitmattingdeep-learningportrait-mattingcomputer-vision
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Stanislav Kapulkin - CEO CTO at Independent research