Anton Dobrenkii
Founder at CARE MENTOR AI
Innopolis, Tatarstan, Russia
Summary
👤
Senior🎓
Top SchoolAnton Dobrenkii is a founder and AI engineer with 11+ years of experience building production-ready machine learning systems and leading a 14-person team at Zorge Lines, where he focuses on real-time 2D and 3D digital avatars for retail and public spaces. He has worked across applied research and industry roles—from medical imaging and DICOM preprocessing in ALCF challenges to computer vision and segmentation work at Beiersdorf and product-focused ML at RoadAR and Boston Scientific. Anton pairs deep academic training (Dottore in Computational Biology, plus nuclear physics and CS foundations) with hands-on engineering, driving full-stack avatar platforms that span model training, dialogue, content pipelines, and kiosk deployment. His company’s platform has earned enterprise validation in Saudi Arabian malls, reflecting both technical maturity and commercial traction in MENA expansion. Notably, he brings cross-domain expertise—biomedical imaging, game development, and clinical decision support—that informs robust, scalable AI product design.
11 years of coding experience
3 years of employment as a software developer
Bachelors Computer Science, Bachelors Computer Science at Innopolis UniversityDottore Biomathematics Bioinformatics and Computational Biology, Dottore Biomathematics Bioinformatics and Computational Biology at Politecnico di MilanoNuclear Physics, Nuclear Physics at National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
English, Russian
Github Skills (8)
keras10
machine-learning10
scipy10
dicom10
python10
image-processing10
classification10
numpy10
Programming languages (2)
Github contributions (5)
drivendataorg/concept-to-clinic
Aug 2017 - Feb 2018
ALCF Concept to Clinic Challenge
Role in this project:
Data Scientist & ML Engineer
Data Scientist & ML EngineerContributions:46 commits, 28 PRs, 118 comments in 5 months
Contributions summary:Anton primarily focused on the development and refinement of a classification algorithm within the repository, as evidenced by the commit messages and code changes. Their contributions include the implementation of a classification algorithm and its integration into the system, including the classification model pipeline and the evaluation components. Additionally, the user addressed various module imports, refactored and improved the pre-processing steps for DICOM images.
clinic
vessemer/LungCancerDetection
Jan 2017 - Oct 2020
Contributions:35 commits, 13 pushes, 6 branches in 3 years 9 months
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