Leonid Beynenson
Computer Vision Research Engineer at Huawei
Russia
Summary
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RockstarLeonid Beynenson is a computer vision research engineer with 11 years of experience building and optimizing production-ready ML demos and model integrations. He has worked at Intel and now Huawei, focusing on text detection/recognition and person re-identification while adapting pre-trained models for specific hardware like MYRIAD. A practical engineer equally comfortable in research and product demos, he contributed improvements to the widely used OpenVINO open_model_zoo, adding text recognition features and fixing memory-allocation issues. Based in Russia, he combines deep systems-level troubleshooting with hands-on model deployment, often bridging gaps between academic models and real-world constraints.
11 years of coding experience
12 years of employment as a software developer
Github Skills (10)
computer-vision10
c-language10
deep-learning10
inference10
cprogramming-language10
python10
openvino10
modello9
mask-rcnn9
faster-rcnn9
Programming languages (4)
Github contributions (5)
openvinotoolkit/open_model_zoo
Mar 2019 - Sep 2020
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Role in this project:
ML Engineer
ML EngineerContributions:10 reviews, 33 commits, 12 PRs in 1 year 5 months
Contributions summary:Leonid primarily contributed to the `open_model_zoo` repository by implementing and improving demos related to text detection and recognition, and person re-identification, likely using pre-trained models from the zoo. They added text recognition capabilities to an existing demo. Additionally, the user updated demos to support newer models and fixed errors related to memory allocation, indicating a focus on model integration and optimization for specific hardware (MYRIAD).
modelonnx-modelsdeep-learning-modelsmodel-zoopytorch-models
LeonidBeynenson/linux-app-logger
Jan 2015 - Aug 2022
Contributions:14 pushes in 7 years 8 months
quantifiedloggerquantified-selfloggingwindow
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