HeliosGrounder User
@heliosgrounder
I build medical computer vision models for breast cancer detection using deep learning.
GeorgiaWhat I'm looking for
At MTL, I build neural networks for medical computer vision, focused on breast cancer detection from mammography. I design and train classification and segmentation models using ResNet, EfficientNet, U-Net, 3D-Unet, FPN, Attention U-Net, and SwinUNet, helping achieve a 0.91 ROC-AUC.
Previously, I developed custom industrial solutions at OOO BIT, led a small development team, and managed client requirements. I also built automated urban network routing and a regional-government incident reporting dashboard, while continuing my master's studies in Artificial Intelligence and Computer Vision.
Experience
Work history, roles, and key accomplishments
Deep Learning Engineer
MTL
Jan 2025 - Present (1 year 8 months)
Design and train neural networks for medical computer vision, focusing on breast cancer detection using mammography. Achieved 0.91 ROC-AUC by applying transfer learning, data augmentation, and custom loss functions to handle class imbalance.
Senior Python Software Developer
LTD BIT
Dec 2021 - Jan 2025 (3 years 1 month)
Creating platforms for automation and leading a small team of python developers
Education
Degrees, certifications, and relevant coursework
Higher School of Economics
Master of Science, Artificial Intelligence and Computer Vision
2023 - 2026
Grade: 3.6
Activities and societies: -
Pursuing a Master's degree in Artificial Intelligence and Computer Vision, focusing on applied mathematics and informatics.
Perm State University
Bachelor of Science, Mathematics
2018 - 2022
Earned a Bachelor of Science in Mathematics, building a strong foundation in mathematical theory and computational methods.
Tech stack
Software and tools used professionally
Availability
Location
GeorgiaAuthorized to work in
Russian Federation
KazakhstanSalary expectations
Job categories
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