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.
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)
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