Nikita Balagansky

Исследователь-разработчик at Tinkoff

Moscow, Moscow, Russia
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Summary

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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.
code7 years of coding experience
bookBachelor'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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Github Skills (53)

transformers10
pytorch10
language-model10
text-segmentation10
python10
image-processing10
image-classification10
metric-learning10
distilbert10
machine-learning10
information-retrieval10
catalyst10
text-classification10
seq2seq10
reinforcement-learning10

Programming languages (6)

TypeScriptJavaCMakeJavaScriptJupyter NotebookPython

Github contributions (5)

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elephantmipt/MelGAN

Jun 2020 - Jun 2020

MelGAN with catalyst framework
Contributions:54 commits, 46 pushes, 1 branch in 8 days
audio-processingcatalystganmelganvocoder
elephantmipt/compressors

Feb 2021 - Apr 2021

Contributions:168 commits, 130 pushes in 1 month
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Nikita Balagansky - Исследователь-разработчик at Tinkoff