Anastasia Kuporosova
AI Frameworks Engineer at Intel Corporation
Munich, Bavaria, Germany
Summary
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Rockstar🎓
Top SchoolAnastasia Kuporosova is an AI Frameworks Engineer with nine years of experience building and maintaining production-grade inference tooling at Intel, where she owns and develops the OpenVINO Python Inference Engine and API 2.0. Based in Munich, she contributes deep Python back-end expertise—adding input and preprocessing abstractions, tightening tensor handling, and fixing memory and deprecation issues—to the high-profile open-source OpenVINO toolkit used for optimizing AI inference. Her work bridges low-level performance considerations and user-facing API ergonomics, ensuring robust, test-covered integrations (including Pillow Tensor handling) for real-world deployments. Trained in computer software engineering at the Higher School of Economics, she combines research-grade rigor with practical engineering delivered inside a major silicon and software company.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Higher School of Economics
Russian, English, Spanish, German
Stackoverflow
1reputation
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Github Skills (12)
tensor10
tensorflow10
python10
openvino10
numpy9
testing9
apidoc9
api9
develop8
code-optimization7
c-language6
cprogramming-language6
Programming languages (3)
Github contributions (5)
openvinotoolkit/openvino
May 2020 - Jan 2023
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1172 reviews, 105 commits, 489 PRs in 2 years 8 months
Contributions summary:Anastasia primarily contributed to the Python API for the OpenVINO toolkit, focusing on enhancements to the inference engine. Their work involved adding features like `InputInfo` and `PreProcessInfo` to the Python API, enabling users to define and manage input tensors and preprocessing steps. The user also addressed and fixed various deprecation warnings and improved the test suite related to tensor access, the integration of `Tensor` from Pillow, and general Python API improvements to address potential memory leaks.
inference-enginepytorchmodel-optimizerdeep-learninggpu
akuporos/openvino
May 2020 - Apr 2025
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
Contributions:37 reviews, 40 PRs, 1868 pushes in 4 years 11 months
pytorchdeep-learningdeploymentopenvino-toolkitinference
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