Egor Shulgin
Graduate Student Researcher
Jeddah, Makkah Region, Saudi Arabia
Summary
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Senior🎓
Top SchoolEgor Shulgin is a PhD candidate and Graduate Student Researcher at KAUST with a decade of experience focused on optimization methods for machine learning, particularly in distributed and federated settings. He has contributed to published research from collaborations at MIPT and KAUST and completed applied research internships at Samsung AI Center and Apple working on federated learning. Comfortable bridging theory and experiments, Egor has a strong applied mathematics background from MIPT and leverages that foundation to design and evaluate stochastic and randomized optimization algorithms. His work frequently results in conference submissions and co-authored papers, showing a track record of turning theoretical insights into reproducible experimental results. Based in Jeddah, he combines deep academic training with industry-facing research experience that informs practical ML systems.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at KAUST (King Abdullah University of Science and Technology)Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at Moscow Institute of Physics and Technology (State University) (MIPT)Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at King Abdullah University of Science and Technology
Russian, English, French
Github Skills (16)
editor9
vscode9
vscode-extension9
electron9
typescript9
visual-studio-code8
microsoft8
visual-studio8
equation5
gamma4
latex3
online-editor2
math2
markdown1
python1
Programming languages (3)
Github contributions (5)
shulgin-egor/mipt
Sep 2015 - Jan 2016
Contributions:23 pushes, 2 branches in 4 months
shulgin-egor/MIPT-Recommendation-Letter-Template
Feb 2020 - Mar 2020
Contributions:10 pushes, 3 branches in 1 month
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