Asya Pronina
AI Frameworks Engineer Intel Corporation
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolAsya Pronina is an AI Frameworks Engineer at Intel with a decade of experience optimizing inference and performance for production-grade AI workloads. She has contributed substantially to high-profile open-source projects like OpenVINO and OpenCV, improving LLM execution, NPU workloads, and core computer-vision preprocessing while shipping C++ and backend fixes. Her career at Intel spans roles from intern to senior engineer, reflecting deep domain expertise in model deployment across VPUs and NPUs. With a strong academic background in cognitive science, computer graphics and applied informatics, she bridges ML research and systems engineering—recently extending her interests into precision psychiatry research at LMU Klinikum München. Pragmatic and detail-oriented, she often focuses on stability- and performance-critical changes that quietly multiply real-world impact.
10 years of coding experience
8 years of employment as a software developer
Exchange student for 1 semester, Interdisciplinary Neuroscience, Exchange student for 1 semester, Interdisciplinary Neuroscience at Goethe UniversityMaster's degree, Cognitive Science, Master's degree, Cognitive Science at Higher School of EconomicsMaster's degree, Computer Graphics, 4.2 (Russian 5-scale grade system, 1-5), Master's degree, Computer Graphics, 4.2 (Russian 5-scale grade system, 1-5) at Нижегородский Государственный Университет им. Н.И. Лобачевского (ННГУ)
Github Skills (31)
pywinauto10
opencv10
c-language10
mstest10
python10
image-processing10
testing10
optimizer10
inference10
teste10
openvino10
testing-library10
automation10
deep-learning10
performance-optimization10
Programming languages (6)
Github contributions (5)
opencv/opencv
Jun 2020 - Apr 2022
Open Source Computer Vision Library
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:252 reviews, 11 commits, 33 PRs in 1 year 9 months
Contributions summary:Asya contributed to the core functionality of the OpenCV library, focusing on computer vision and deep learning aspects. Their work included enabling state initialization parameters, fixing conversions for data processing, and integrating GFrame as an internal node. They demonstrated skills in C++ by modifying core files and incorporating test cases. Furthermore, the user added new media accessors, ported object tracking and fixed mean/scale preprocessing, showcasing their deep understanding of image processing and model optimization.
pythonvisiondeep-learningc-plus-pluscomputer-vision
openvinotoolkit/openvino
Dec 2022 - 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:254 reviews, 3 commits, 59 PRs in 1 month
Contributions summary:Asya primarily focused on enhancing the OpenVINO toolkit's capabilities, specifically for inference performance optimization. Their work included extending and adapting existing speech samples for various devices (VPUX) and addressing potential overflow issues in core utility functions. Additionally, the user was involved in removing legacy benchmark applications and improving the NPUW (Neural Processing Unit Workload) component, contributing to its stability and efficiency. Furthermore, the user made changes to improve LLM execution.
inference-enginepytorchmodel-optimizerdeep-learninggpu
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