Nikita Balagansky is an applied ML researcher-developer with 7 years of experience focused on model compression, training speedups, and practical metric-learning for conversational systems. Based in Moscow, he has driven production and research projects at Tinkoff where he builds and evaluates efficient models and tooling for real-time applications. His early work at MIPT and Tinkoff labs included message embedding research, clustering pipelines, and interactive visualization dashboards that helped operationalize chatbot improvements. He combines a strong applied-math background from MIPT with hands-on engineering: instrumenting metrics, creating dashboards, and shipping prototypes that surface model behavior to stakeholders. Nikita’s interests span NLP, data visualization, and Bayesian approaches, reflecting a blend of probabilistic thinking and user-centric model introspection. He’s notable for bridging research and product needs—turning compression and speedup ideas into deployable, monitorable components.
7 years of coding experience
Bachelor's degree, Applied Mathematics and Physics, Bachelor's degree, Applied Mathematics and Physics at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)
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Nikita Balagansky - Исследователь-разработчик at Tinkoff