I am Head of AI Research at Tinkoff, an AI-first fintech company. Our team is focused on the CV, NLP, RL, and RecSys domains to advance the AI field and create novel technical solutions. We also frequently launch students' projects through TLab.
My own line of research is mainly focused on sequential decision-making under uncertainty and ML robustness. Besides that, I help with the Tinkoff.AI meetups organization and advise the MLE profession within Tinkoff.
In my spare time, I actively contribute to open-source projects and lead the development of Catalyst, an open-source PyTorch framework for deep learning research and development. I also recently launched Animus as a framework-less alternative to organize research experiments.
Short notes in Decision Making in the Wild.
Minimalistic machine learning
Accelerated deep learning R&D
Advanced deep learning with Catalyst
High-quality single-file implementations of SOTA Offline RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC