Tl;dr
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.
Interests
- Sequential Decision Making
- Process organisation
- Psychology
Education
MSc in Math and Computer Science
Moscow Institute of Physics and Technology
BSc in Math and Computer Science
Moscow Institute of Physics and Technology
Posts
Talks
Publications
Projects
Animus
Minimalistic framework to run machine learning experiments
4th place solution for the SIGIR 2021 challenge.
4th place solution for the SIGIR 2021 challenge.
ETNA
Time Series Library
Kittylyst
A tiny Catalyst-like experiment runner framework on top of micrograd.
Deep Learning with Catalyst
Advanced deep learning course
ML workflow
Checklist and questions to make ML right.
Catalyst codestyle
Accelerated Python code formatter
RL Intro
Brief introduction to Reinforcement Learning and Recommender Systems.
Alchemy
Experiments logging & visualization
NeurIPS RL 2019 challenge
2nd place solution for NeurIPS RL 2019 challenge
Reaction
Convenient deep learning models serving
Catalyst detection
Object detection with Catalyst
Catalyst segmentation
Image segmentation with Catalyst
Catalyst classification
Image classification with Catalyst
Catalyst.RL
Distributed framework for RL research
Catalyst
Accelerated deep learning research and development
NeurIPS RL 2018 challenge
3rd place solution for NeurIPS RL 2018 challenge
OpenAI Retro Contest
4th place solution for OpenAI Retro Contest.
NIPS RL 2017 challenge
3rd place solution for NIPS RL 2017 challenge