Egor Burkov is a computer vision research engineer with 11 years of hands-on experience building and optimizing deep learning systems from research prototypes to real-time demo and pre-deployment products. He has driven projects across industry labs and startups—improving diffusion model performance at Meta, advancing NeRF-like few-shot 3D reconstruction at Skoltech, and shipping real-time avatar and pose systems for AR/VR at Samsung and Yolk. Comfortable owning end-to-end work, he combines low-level optimization (C/CUDA) and model compression with state-of-the-art neural synthesis and novel-view techniques. A PhD-trained researcher with a strong academic foundation and practical delivery record, he is UK-authorized on a Global Talent visa while based in Tashkent. Notably, his profile spans both algorithmic innovation and production engineering, enabling real-time, cross-platform applications such as conversational avatars and full-body telepresence.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Computational and Data Science and Engineering, Doctor of Philosophy - PhD, Computational and Data Science and Engineering at Skolkovo Institute of Science and Technology
Bachelor's Degree, Mathematics and Computer Science, 4.74/5, Bachelor's Degree, Mathematics and Computer Science, 4.74/5 at Higher School of Economics
Contributions:321 commits, 17 PRs, 293 pushes in 3 years
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