Arseniy Obolenskiy
Senior Member Of Technical Staff at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolArseniy Obolenskiy is a Senior Member of Technical Staff and compiler-focused software engineer with seven years of experience across C++ and Python, currently working at AMD in Munich. He has a strong track record in compiler and performance engineering from roles at Intel and Huawei, contributing to prominent open-source projects such as OpenVINO and Intel Media SDK where he fixed critical security/static-analysis issues and added performance and feature enhancements. As a lecturer and PhD researcher, he blends applied research with teaching—running courses on compilers, parallel programming, and AI accelerator programming and supervising student theses while automating coursework validation. He has practical experience enabling LLM subgraph accelerations and porting MLIR/LLVM-based toolchains to NPUs, and he often prototypes source-to-source transformations and binary profiling tools. Outside of work he maintains hands-on open-source projects on GitHub, using spare-time experiments to explore new technologies beyond his professional stack.
7 years of coding experience
6 years of employment as a software developer
PhD Program, Computer Science and Informatics, PhD Program, Computer Science and Informatics at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
German, Russian, English, Chinese
Github Skills (16)
unit-testing10
code-optimization10
intel-media-sdk10
debug10
c-language10
cprogramming-language10
performance-optimization10
openvino10
mxf10
verity10
test-automation10
ai9
deep-learning9
quality-assurance9
inference9
Programming languages (13)
Github contributions (5)
Intel-Media-SDK/MediaSDK
Jan 2020 - Jul 2021
The Intel® Media SDK
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:77 reviews, 62 commits, 56 PRs in 1 year 5 months
Contributions summary:Arseniy primarily contributed to the improvement and maintenance of the Intel Media SDK, specifically focusing on fixing warnings, addressing missing initialization, and resolving issues. They addressed multiple warnings in test suites, ensuring code quality. Furthermore, the user implemented new features and enhancements such as adding support for new bitrate control methods (AVBR, QVBR, ICQ) and adding a handle for interpolation methods, and also improved the sample multi-transcode.
intel-media-sdkintelsdkvideomfx
openvinotoolkit/openvino
Dec 2022 - Dec 2022
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Role in this project:Back-end Developer / Performance Engineer
Back-end Developer / Performance EngineerContributions:201 reviews, 1 commit, 79 PRs in 1 day
Contributions summary:Arseniy primarily addressed and fixed coverity scan issues within the Intel CPU plugin of the OpenVINO toolkit, focusing on integer overflows, null pointer dereferences, and uninitialized fields. These fixes targeted the CPU plugin's core components. They also worked on optimizing performance by addressing inefficiencies and improving code related to the core functionalities of the CPU plugin like the batch to space and unique nodes.
inference-enginepytorchmodel-optimizerdeep-learninggpu
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