Anna Khakimova

Deep Learning Software Engineer at Intel Corporation

Nizhny Novgorod, Nizhny Novgorod Oblast, Russia
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Summary

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Anna Khakimova is a Deep Learning Software Engineer with a decade of experience building production-ready ML solutions at Intel after formative engineering roles at Itseez, MERA, and Tecom Group. Grounded in mathematics and systems programming with advanced studies in banking and quantitative disciplines from Nizhny Novgorod State University, she combines theoretical rigor with practical systems engineering. At Intel she focuses on turning research-grade models into scalable software, bridging low-level optimization and high-level model deployment. Her background in systems programming and mathematics gives her a strong edge in performance-sensitive deep learning workloads and model integration. Based in Nizhny Novgorod, she brings a steady track record of long-term impact within large engineering organizations and a subtle cross-domain perspective linking finance-grade analytical training to ML engineering.
code10 years of coding experience
job5 years of employment as a software developer
bookМагистр, Банковское дело, 4.8, Магистр, Банковское дело, 4.8 at Нижегородский Государственный Университет им. Н.И. Лобачевского (ННГУ)
languagesАнглийский
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Github Skills (16)

transformers10
diffusion-models10
computer-vision10
opencv10
speech-recognition10
nlp10
stable-diffusion10
deep-learning10
recommendation-system10
inference10
generative-ai10
ai10
openvino10
image-processing10
natural-language-processing10

Programming languages (1)

C++

Github contributions (5)

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anna-khakimova/openvino

May 2020 - Sep 2021

OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
Contributions:2 PRs, 170 pushes, 23 branches in 1 year 4 months
deep-learningopenvino
anna-plyakina/vmf

Dec 2015 - Mar 2016

Contributions:209 pushes, 5 branches in 3 months
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