Summary
Roman Koshelev is an experienced AI and software engineering leader with 11+ years driving production-grade ML and NLP systems, now directing Sberbank’s team building LEGAL_AI for domain knowledge extraction and management. He combines deep technical roots—from early C++ and embedded systems to modern DL, GNNs, NER and knowledge-graph tooling—with strong product delivery and cloud-native pipelines. Previously he led ML productization at Aspose (cloud OCR/OMR) and architected real-time navigation and distributed test systems for robotics and UAVs. Roman has founded and scaled businesses and teams, pairing hands-on algorithm design with hiring and operational leadership across startups and enterprises. He holds a Master’s in Computational and Applied Mathematics from MIPT and is actively recruiting talent to grow LEGAL_AI’s interdisciplinary stack. A practical researcher, he often bridges semantics, DSL/ontology work and applied NLP to turn complex legal text into usable knowledge assets.
11 years of coding experience
22 years of employment as a software developer
Master’s Degree, Computational and Applied Mathematics, Master’s Degree, Computational and Applied Mathematics at Moscow Institute of Physics and Technology (State University) (MIPT)
Russian, English