Evgeny Izutov
Deep Learning R&D Engineer at Huawei
Nizhny Novgorod, Nizhny Novgorod Oblast, Russia
Summary
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Rockstar🎓
Top SchoolEvgeny 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.
12 years of coding experience
7 years of employment as a software developer
Магистр, Прикладная математика и информатика, Магистр, Прикладная математика и информатика at Нижегородский Государственный Университет им. Н.И. Лобачевского (ННГУ)
Github Skills (43)
person-detection10
pytorch10
image-classification10
incremental-learning10
machine-learning10
inference10
openvino10
semi-supervised-learning10
nvidia10
image-segmentation10
deep-learning10
self-supervised-learning10
automl10
xpu10
raw-image10
Programming languages (2)
Github contributions (5)
openvinotoolkit/mmsegmentation
Sep 2021 - Apr 2022
OpenVINO Training Extensions Semantic Segmentation
Contributions:61 reviews, 87 PRs, 81 pushes in 6 months
openvinosemantic-segmentationdeep-neural-networksdeep-learningpytorch
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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