Alexander Perepelkin
Software Engineer at Intel
Summary
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RockstarAlexander Perepelkin is a software engineer with six years of hands-on experience focused on QA and test automation for AI inference tooling. He has contributed meaningful test-framework enhancements to the high-profile OpenVINO open-source project, improving functional tests, input generation, and cross-hardware validation. His work emphasizes reliability and correctness of model layers and subgraphs, helping bridge research-model outputs to production inference. Based in Russia, he brings a pragmatic engineering approach that pairs attention to low-level test detail with an understanding of hardware variability. Notably, his contributions show a preference for strengthening test coverage and validation flows rather than feature development, a valuable trait for teams prioritizing robustness.
5 years of coding experience
Github Skills (11)
testing10
test-framework10
ai10
openvino10
deeplearning-ai9
inference9
deep-learning9
computer-vision9
c-language8
cprogramming-language8
python7
Programming languages (2)
Github contributions (4)
openvinotoolkit/openvino
Jul 2020 - Mar 2021
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:41 reviews, 12 commits, 15 PRs in 7 months
Contributions summary:Alexander's commits primarily focus on enhancing the testing framework within the OpenVINO repository. The contributions include adding and modifying tests for various layers and subgraphs, specifically targeting functional testing. These changes encompass adjustments to test configurations, input generation, and result validation. The modifications indicate a focus on ensuring the correctness and reliability of OpenVINO's functionalities across different hardware platforms.
inference-enginepytorchmodel-optimizerdeep-learninggpu
alpkn/openvino
Jun 2020 - Aug 2023
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
Contributions:2 PRs, 75 pushes, 21 branches in 3 years 2 months
pytorchdeep-learningdeploymentopenvino-toolkitobject-detection
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