Yury Borets
Computer Vision Engineer @Sberbank
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WORK HISTORY
Computer Vision Engineer @Sberbank
Moscow, RU
Leveraged Python, PyTorch, and OpenCV to train and optimize object detection models.• Employed Linux, ONNX, and TensorRT for efficient deployment of trained models in production environments.• Labeled and curated datasets, significantly enhancing the accuracy and quality of dataset labeling processes.• Conducted experiments with object detection models, optimizing their performance through training and fine-tuning.• Collaborated closely with developers and data specialists to ensure seamless integration and alignment across projects.• Managed version control using GitLab and coordinated tasks through YouTrack for effective project management.
EDUCATION
Moscow State University of Instrument Engineering and Computer Sciences (MGUPI)
Bachelor of Science - BS, Computer Science
ABOUT YURY BORETS
Computer Vision Engineer with nearly two years of experience in self-supervised learning, object detection, and production deployment. Worked at Sber AI Lab — part of Sberbank, the largest bank in Russia — where the team conducts high-impact research and builds models that compete on a global scale.Co-author of a research paper (preprint on arXiv, model weights on Hugging Face) submitted to MIDL 2026, focusing on facial embeddings for medical and biometric analysis.Driven by solving real problems, collaborating with great people, and shipping things that work.Reach me at- Email: b••••••••@gmail.com- LinkedIn message- Telegram:@udborets (https://t.me/udborets)
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