I am Head of Research at Tinkoff AI Center, working on various machine learning applications. I focus on the intersection of machine learning and product development to create novel solutions to improve customer experience.
I am actively contributing to open source projects and leading the development of Catalyst, the open-source PyTorch framework for Deep Learning R&D.
In my spare time, I enjoy writing posts or give talks on ML-related topics.
MSc in Math and Computer Science
Moscow Institute of Physics and Technology
BSc in Math and Computer Science
Moscow Institute of Physics and Technology
Minimalistic framework to run machine learning experiments
4th place solution for the SIGIR 2021 challenge.
Time Series Library
A tiny Catalyst-like experiment runner framework on top of micrograd.
Advanced deep learning course
Checklist and questions to make ML right.
Accelerated Python code formatter
Brief introduction to Reinforcement Learning and Recommender Systems.
Experiments logging & visualization
2nd place solution for NeurIPS RL 2019 challenge
Convenient deep learning models serving
Object detection with Catalyst
Image segmentation with Catalyst
Image classification with Catalyst
Distributed framework for RL research
Accelerated deep learning research and development
3rd place solution for NeurIPS RL 2018 challenge
4th place solution for OpenAI Retro Contest.
3rd place solution for NIPS RL 2017 challenge