Igor Shovkun

Deep Learning Algorithms Engineer at NVIDIA

Palo Alto, California, United States
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Summary

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Igor 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.
code11 years of coding experience
job8 years of employment as a software developer
bookDoctor of Philosophy (PhD) Petroleum Engineering, Doctor of Philosophy (PhD) Petroleum Engineering at The University of Texas at Austin
bookMaster of Science (MSc) Applied Physics and Mathematics, Master of Science (MSc) Applied Physics and Mathematics at Moscow Institute of Physics and Technology
languagesRussian, English
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Stackoverflow

Stats
11reputation
53reached
1answer
1question
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Github Skills (110)

low-level10
gpu10
kde-plasma10
gprs10
llm-inference10
emacs10
preprocessor10
window-decoration10
kernel10
nvidia10
cuda10
jit10
pytorch10
emacs-lisp9
code-editor9

Programming languages (10)

TypeScriptQMLShellC++CoffeeScriptCRustJavaScript

Github contributions (5)

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ishovkun/msh2gprs

Aug 2018 - Dec 2021

Preprocessor for AD-GPRS
Contributions:842 commits, 2 PRs, 342 pushes in 3 years 4 months
gprspreprocessor
ishovkun/angem

Apr 2019 - Mar 2025

templated library for 3D analytical geometry
Contributions:122 pushes, 6 branches in 6 years
3d
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