Mikhail Treskin
Computer Vision Engineer at RetailNext
Nizhny Novgorod, Nizhny Novgorod Oblast, Russia
Summary
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Rockstar🎓
Top SchoolMikhail Treskin is a computer vision engineer with six years of experience applying deep learning to real-world products, currently building vision systems at RetailNext. His background includes multi-year roles at Intel as a deep learning and software validation engineer, where he bridged research models and production-quality validation. Trained as a physicist (BSc and MSc from UNN), he brings a rigorous, measurement-driven approach to model development and evaluation. He has a track record of taking prototypes through validation and deployment in commercial environments, especially in performance-sensitive, embedded or edge-adjacent contexts. Based in Nizhny Novgorod, he combines academic depth with hands-on engineering discipline and a focus on robust, reproducible vision pipelines. An understated strength is his cross-disciplinary fluency between low-level validation practices and modern deep learning workflows, enabling smoother transitions from experiment to production.
6 years of coding experience
8 years of employment as a software developer
Master's degree, Physics, Master's degree, Physics at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
Github Skills (28)
transformers10
pytorch10
recommendation-system10
labeling10
imagenet10
image-classification10
annotations10
quality-assurance10
semantic-segmentation10
diffusion-models10
stable-diffusion10
inference10
image-annotation10
openvino10
llm-inference10
Programming languages (4)
Github contributions (5)
retailnext/cvat
Sep 2021 - Dec 2022
Powerful and efficient Computer Vision Annotation Tool (CVAT)
Contributions:1 review, 15 commits, 15 PRs in 1 year 2 months
computer-visioncvat
mikhail-treskin/openvino
May 2020 - Jul 2021
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
Contributions:8 reviews, 25 PRs, 268 pushes in 1 year 2 months
pytorchdeep-learningdeploymentopenvino-toolkitobject-detection
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