Igor Kim
Senior Petrophysicist at Petroleum Development Oman
Oman
Summary
👤
Senior🎓
Top SchoolIgor Kim is a Senior Petrophysicist with over a decade of global experience applying computational physics to real-world reservoir problems across Shell, Baker Hughes, and Petroleum Development Oman. He blends hands-on field expertise in wireline logging and fluid sampling with pragmatic software engineering—regularly using Python for scientific computing and even contributing documentation and examples to the high-profile Numba project. Comfortable down to assembler and APL for performance and expressiveness, he pairs low-level optimization skills with C/C++/Java/JavaScript toolsets to prototype physics models and production-ready workflows. Based in Oman, he supports asset delivery and operational metrics while continuing to explore simulation, modelling and practical applied physics. Notably, his background in electrical and electronics engineering informs a systems-thinking approach that bridges instrumentation, data interpretation and computational model development.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS), Electrical and Electronics Engineering, Bachelor of Science (BS), Electrical and Electronics Engineering at Tashkent State Technical University
Russian, English
Stackoverflow
1,253reputation
87kreached
37answers
7questions
Github Skills (18)
python10
llvm10
cuda10
numba10
documentation10
numpy9
compiler-compiler9
compiler9
code-analysis8
bytecode8
hash6
concurrency6
godoc6
goroutine6
clojure6
Programming languages (6)
Github contributions (5)
numba/numba
Mar 2023 - Mar 2023
NumPy aware dynamic Python compiler using LLVM
Role in this project:
Backend Developer
Backend DeveloperContributions:3 reviews, 3 PRs, 6 comments in 5 days
Contributions summary:Igor primarily contributed to documentation updates and example code related to dynamic shared memory within the Numba CUDA context. Their work involved clarifying the usage of `cuda.shared.array` and providing examples of how to use it in CUDA kernels, including addressing potential aliasing issues. The user also made changes to bytecode analysis related to exception handling within the byteflow module. These contributions enhanced the documentation and the core functionality of the Numba compiler.
compilerllvmnumpypythoncuda
k1m190r/sktime
Jan 2022 - May 2022
A unified framework for machine learning with time series
Contributions:2 PRs, 54 pushes, 6 branches in 4 months
deep-learningtime-seriesmachine-learning
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