Igor Shovkun
Deep Learning Algorithms Engineer at NVIDIA
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolIgor Shovkun is a Deep Learning Algorithms Engineer based in Palo Alto with 11 years of experience at the intersection of HPC and applied research. He holds a PhD in Petroleum Engineering from UT Austin and dual degrees in Applied Physics and Mathematics from MIPT, bringing strong theoretical grounding to production-scale ML and simulation problems. After a multi-year stint as an HPC Engineer at Schlumberger and research roles at Stanford, he now develops deep learning algorithms at NVIDIA, combining high-performance computing expertise with model development. His background in computational geosciences and petroleum engineering gives him a practical edge in physics-informed machine learning and large-scale numerical workflows—skills that transfer to optimizing ML pipelines and accelerating training on specialized hardware.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Petroleum Engineering, Doctor of Philosophy (PhD) Petroleum Engineering at The University of Texas at AustinMaster of Science (MSc) Applied Physics and Mathematics, Master of Science (MSc) Applied Physics and Mathematics at Moscow Institute of Physics and Technology
Russian, English
Stackoverflow
11reputation
53reached
1answer
1question
Github Skills (128)
low-level10
vim10
gprs10
emacs-lisp10
emacs10
preprocessor10
decoration10
emacs-lsp9
melpa9
wps9
simulator9
power-systems9
spacemacs9
gpu9
kde-plasma9
Programming languages (9)
Github contributions (5)
ishovkun/dotfiles
Aug 2018 - Jan 2025
Contributions:178 pushes, 1 branch in 6 years 5 months
ishovkun/wings
Oct 2017 - May 2018
Contributions:162 commits, 64 pushes, 5 branches in 7 months
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