Summary
Stefan Rebrikov is a software developer and laboratory research assistant with nine years of experience bridging applied NLP research and practical Python engineering. Currently at the Kurchatov Institute and the Higher School of Economics, he develops corpus-processing pipelines and trains neural models for Russian and Belarusian tokenization, morphology, and syntax. His background in game design and virtual reality informs a creative approach to tooling and asset pipelines, complemented by hands-on experience with Blender, Unreal Engine 4, and Adobe media suites. During an internship at DeepPavlov.ai he migrated and adapted Neo4j-backed knowledge bases into conversational frameworks and analyzed personality–movie preference correlations using Movielens and IMDb datasets. He combines academic study in linguistics (MSc and ongoing postgraduate work) with practical software delivery, making him effective at turning linguistic research needs into reproducible code. An unusual strength is his cross-disciplinary fluency—able to move from experimental audio/video asset creation to building production-oriented NLP scripts.
9 years of coding experience
Bachelor's degree, Game Design and Virtual Reality, Bachelor's degree, Game Design and Virtual Reality at Higher School of Economics
Master's degree, Fundamental and Applied Linguistics, Master's degree, Fundamental and Applied Linguistics at Высшая Школа Экономики
Russian, English