Alexander Melekhin
Senior R&D Engineer at Sberbank
Russia
Summary
👤
Senior🎓
Top SchoolAlexander Melekhin is a Senior R&D Engineer and PhD candidate with 9 years of experience building production-grade computer vision systems for robotics and industrial video analytics. He has led end-to-end pipelines from data collection and multimodal dataset construction to FAISS-based retrieval, real-time inference and reproducible deployment, delivering strong localization and retrieval metrics (Recall@1 > 90%) and sub-second ATE performance. Currently at Sber Robotics Center, he focuses on perception and navigation while concurrently lecturing and mentoring students in machine learning and CV, having revamped course materials and run hands-on seminars. Comfortable shipping Dockerized prototypes and maintaining experiment reproducibility, he combines academic rigor from MIPT with practical product delivery—an engineer who moves research ideas into working robotic systems.
9 years of coding experience
5 years of employment as a software developer
Candidate of Sciences (Kandidat Nauk; PhD-equivalent), Artificial Intelligence and Machine Learning, Candidate of Sciences (Kandidat Nauk; PhD-equivalent), Artificial Intelligence and Machine Learning at Moscow Institute of Physics and Technology (State University) (MIPT)Master's degree, Computer Science, Master's degree, Computer Science at Moscow Technical University of Communications and Informatics (MTUCI)
Russian, English
Stackoverflow
1reputation
0reached
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Github Skills (71)
representation-learning10
metric-learning10
face9
machine-learning-models9
pytorch-lightning9
deep-reinforcement-learning8
computer-vision8
convolutional-neural-networks8
clustering8
python8
apollo8
reinforcement-learning8
nearest-neighbors7
deep-learning7
data-science7
Programming languages (7)
Github contributions (5)
OPR-Project/OpenPlaceRecognition
Apr 2023 - Apr 2025
Place Recognition library based on Python and PyTorch framework
Contributions:1 release, 12 reviews, 162 PRs in 1 year 11 months
OPR-Project/ITLP-Campus
Jun 2023 - Mar 2025
About The dataset was recorded on the Husky robotics platform on the university campus and consists of 5 tracks recorded at different times of day (day/dusk/night) and different seasons (winter/spring).
Contributions:3 PRs, 30 pushes, 4 branches in 1 year 9 months
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