Evgeny Izutov

Deep Learning R&D Engineer at Huawei

Nizhny Novgorod, Nizhny Novgorod Oblast, Russia
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Summary

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Evgeny Izutov is a Deep Learning R&D Engineer with 12 years of experience building production-ready ML systems and research-driven solutions across Intel and Huawei. Trained as a mathematician and computer scientist (BSc/MSc, Nizhny Novgorod State University), he blends strong theoretical foundations with hands-on engineering to optimize neural architectures and deployment pipelines. At Intel he spent six years advancing deep learning research and at Huawei he continues to drive R&D efforts aimed at scalable inference and model acceleration. Colleagues describe him as comfortable moving between low-level performance tuning and higher-level algorithm design, making him effective on both research prototypes and product integrations. Based in Nizhny Novgorod, he brings a persistent focus on turning complex math into robust, efficient code for real-world systems.
code12 years of coding experience
job7 years of employment as a software developer
bookМагистр, Прикладная математика и информатика, Магистр, Прикладная математика и информатика at Нижегородский Государственный Университет им. Н.И. Лобачевского (ННГУ)
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Github Skills (55)

person-detection10
pytorch10
text-recognition10
anomaly-detection10
image-classification10
re-identification10
incremental-learning10
openmmlab10
machine-learning10
inference10
openvino10
super-resolution10
sift10
semi-supervised-learning10
image-segmentation10

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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openvinotoolkit/mmaction2

Oct 2020 - Sep 2021

OpenVINO Training Extensions Action Recognition
Contributions:5 reviews, 6 PRs, 37 pushes in 11 months
pytorchdeep-learningrecognitioncomputer-visiontraining
evgeny-izutov/open_model_zoo

Mar 2019 - May 2021

Open Model Zoo (pre-trained deep learning models and samples)
Contributions:75 pushes, 34 branches in 2 years 2 months
pytorchdeep-learningunet-image-segmentationpre-traineddeep-learning-models
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