Nikita Balagansky
Lead Researcher at T-Tech
Moscow, Moscow, Russia
Summary
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Rockstar🎓
Top SchoolNikita 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.
8 years of coding experience
Bachelor's degree Applied Mathematics and Physics, Bachelor's degree Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
Github Skills (56)
transformers10
pytorch10
text-segmentation10
python10
machine-learning-models10
image-processing10
image-classification10
metric-learning10
distilbert10
machine-learning10
inference10
multimodal10
catalyst10
information-retrieval10
text-classification10
Programming languages (6)
Github contributions (5)
elephantmipt/MelGAN
Jun 2020 - Jun 2020
MelGAN with catalyst framework
Contributions:54 commits, 46 pushes, 1 branch in 8 days
audio-processingcatalystganmelganvocoder
elephantmipt/elephantmipt
Jul 2020 - Feb 2026
Contributions:9 pushes, 1 branch in 5 years 8 months
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