Artemy Skrebkov
Senior AI Frameworks Engineer at Intel Corporation
Dublin, Ireland
Summary
🤩
Rockstar🎓
Top SchoolArtemy Skrebkov is a Senior AI Frameworks Engineer based in Dublin with nine years of experience building and optimizing inference stacks for AI accelerators. He has deep C++ and Python expertise and a focus on compiler technologies (MLIR/LLVM), neural network compilers, and dynamic-shape handling for NPUs and VPUs while contributing core functionality to the widely used openvinotoolkit/OpenVINO. At Intel he has driven plugin and runtime design across multiple hardware families—MYRIAD, HDDL, VPU and NPU—covering everything from graph compilers and transport protocols to CI and low-level kernel debugging. He mentors engineers and students, taught compiler concepts in educational settings, and routinely bridges research-grade compiler techniques with production performance engineering. Beyond core development, he has practical QA and automation experience demonstrated in contributions to pywinauto examples and logging. Colleagues rely on him for system-level design, performance tuning, and integrating emerging accelerator features into stable inference toolchains.
9 years of coding experience
7 years of employment as a software developer
Master's degree, Applied Mathematics and Computer science, Master's degree, Applied Mathematics and Computer science at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
Github Skills (22)
pywinauto10
c-language10
mstest10
python10
testing10
inference10
teste10
openvino10
automation10
testing-library10
performance-optimization10
logging10
automations10
cprogramming-language10
ui-testing10
Programming languages (5)
Github contributions (5)
openvinotoolkit/openvino
Sep 2020 - Jan 2023
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:198 reviews, 14 commits, 32 PRs in 2 years 4 months
Contributions summary:Artemy contributed to the OpenVINO toolkit by implementing and modifying core functionality related to inference optimization and compilation, specifically for the Intel NPU. The commits demonstrate expertise in managing and updating dependencies, incorporating performance enhancements, and addressing build issues. This involved modifying code related to command-line argument parsing and model input processing for the benchmark application, and also included fixing segfault issues on Windows. Furthermore, the user modified the source code relating to dynamic shape handling.
inference-enginepytorchmodel-optimizerdeep-learninggpu
pywinauto/pywinauto
Apr 2017 - Apr 2017
Windows GUI Automation with Python (based on text properties)
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:8 commits in 6 days
Contributions summary:Artemy primarily focused on improving the example code and adding logging functionality to the `pywinauto` library's examples, specifically for the MS Paint example. They addressed issues related to the logging setup, and introduced print messages for debugging. Additionally, the user updated examples to save image if it exists and improved the style of log messages. Furthermore, changes involved modifying the `uiawrapper.py` and `uia_controls.py` files to include logging messages for actions such as invoke, toggle and close events, to trace interactions in the automated testing process.
pythonwindows-guigui-automationtesting-toolscustomtkinter
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