Alexander Nesterov
AI Frameworks Engineer at The Lobachevsky State University of Nizhny Novgorod - International
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolAlexander Nesterov is an AI Frameworks Engineer with 10 years of experience building and optimizing inference backends for computer vision and heterogeneous ARM platforms. Based in Munich, he has contributed significant low-level fixes and performance improvements to high-profile open-source projects like OpenVINO and OpenCV, ensuring ARM CPU/GPU compatibility and stability across FP16/FP32 workloads. At Intel he modernized CI/build infrastructure, enabled Android and macOS/Windows-on-ARM scenarios, and delivered production-grade operator implementations and Neon/ACL optimizations. He also teaches and designs reproducible parallel programming coursework, bringing a strong grounding in MPI/OpenMP/TBB and measurable performance pedagogy to his engineering work. Unusually for an engineer focused on low-level inference, he balances technical depth with creative pursuits in vocal performance and acting, which informs his clear communication and teaching contributions.
10 years of coding experience
3 years of employment as a software developer
Master's degree, Applied Mathematics and Computer Science, Computing Methods and Supercomputing Technologies, Master's degree, Applied Mathematics and Computer Science, Computing Methods and Supercomputing Technologies at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
English, Russian, German
Github Skills (18)
opencv10
c-language10
gstreamer10
image-processing10
architecture10
inference10
openvino10
performance-optimization10
arm10
computer-vision10
cprogramming-language10
architectures10
testing9
debug9
debugging9
Programming languages (6)
Github contributions (5)
openvinotoolkit/openvino
Jan 2022 - Sep 2022
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Role in this project:
Backend Developer
Backend DeveloperContributions:121 reviews, 3 commits, 83 PRs in 8 months
Contributions summary:Alexander primarily contributed to the OpenVINO toolkit by fixing and optimizing code related to the ARM CPU architecture. Their commits addressed issues in various aspects of the toolkit, including test failures, incorrect operations, and performance improvements, specifically targeting features such as Elwise, Interpolate, and AVGPool. The contributions focused on the implementation of low-level changes related to the CPU architecture. The impact of the user's work is to ensure the toolkit’s compatibility and performance on the ARM architecture.
inference-enginepytorchmodel-optimizerdeep-learninggpu
opencv/opencv
Mar 2018 - Jan 2019
Open Source Computer Vision Library
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:14 reviews, 17 commits, 30 PRs in 10 months
Contributions summary:Alexander contributed to the OpenCV library, specifically focusing on the integration and testing of GStreamer pipelines for video input/output. They implemented a sample application demonstrating how to read video files using different GStreamer pipelines and added tests to validate the functionality of the GStreamer integration. The user also refactored existing code and updated the QR code detection algorithm.
pythonvisiondeep-learningc-plus-pluscomputer-vision
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