Maksim Kobelev
Senior Data Scientist
Budapest, Hungary
Summary
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Senior🎓
Top SchoolMaksim Kobelev is a Senior Data Scientist based in Budapest with 7+ years in machine learning, specializing in NLP, computer vision and document processing, and five years of commercial experience delivering production-grade systems. He has led teams and driven architecture shifts from lightweight NN models to BERT-based and multimodal transformers, enabling few-shot on-premise learning and improved document clustering and extraction accuracy. At EPAM he built a GPU-accelerated, GStreamer-based OCR pipeline deployed to NVIDIA Orin edge devices for real-time package print-defect detection across global factories, and developed LLM-driven anomaly detection for large-scale general ledgers. Known for bridging research and operations, he combines model innovation (e.g., Visual-Transformer features, GCNs for receipts) with pragmatic deployment—Docker, Azure, Ansible—and operator-facing analytics. His background in financial technologies and applied mathematics helps him design robust, auditable ML solutions that reduce manual work and scale across enterprise environments.
5 years of coding experience
4 years of employment as a software developer
Master's degree, Financial Technologies and Data Analysis, 7.9, Master's degree, Financial Technologies and Data Analysis, 7.9 at Higher School of Economics
Hungarian, English, Russian, German
Github Skills (7)
python4
bug-tracker3
quest2
maze1
corona1
tetris1
openframeworks1
Programming languages (1)
Github contributions (5)
morph1max/YDeal
Feb 2021 - May 2022
A system of autotests for practical tasks with built-in anti-plagiarism.
Contributions:32 commits, 1 PR, 21 pushes in 1 year 3 months
pythonantipractical-taskspracticalautotests
sheriff1max/recs-searcher
Nov 2023 - Aug 2024
Contributions:2 releases, 40 pushes, 3 branches in 8 months
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