Ivan Tsvigun is a Senior NLP Research Engineer based in London with eight years of hands-on experience building NLP and LLM-driven solutions for financial and compliance domains. He currently applies advanced language models at Behavox after leading data science initiatives at VEB.RF, where he progressed from intern to senior data scientist, blending domain knowledge in finance with statistical rigor. Trained in mathematical methods and holding a Distinction MSc in Finance (Data Analysis) from Queen Mary University, he excels at translating complex regulatory and market signals into production-ready ML systems. Known for bridging research and engineering, he focuses on robust, auditable pipelines that meet high-stakes enterprise requirements. A practical problem-solver, he brings both quantitative depth and real-world deployment experience to NLP applications in regulated industries.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Mathematical Methods in Economics, Merit, Bachelor's degree, Mathematical Methods in Economics, Merit at Высшая Школа Экономики
Master's degree, Finance (Data Analysis in Finance), Distinction, Master's degree, Finance (Data Analysis in Finance), Distinction at Queen Mary University of London
Репозиторий для реализации дистанционного обучения по дисциплине "Основы web-программирования"
Contributions:11 pushes in 3 months
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Ivan Tsvigun - Senior NLP Research Engineer at Behavox