I’m Dmitrii Krylov — a machine learning researcher and engineer. I care about building systems that scale, understanding long-horizon learning, and turning research ideas into working software.
This site is a notebook: research notes, experiments, and writing. Some posts are polished; many are me thinking out loud.
Interests: efficient ML, sequential modeling, RL / imitation learning, ML for systems, and engineering for reproducible research.
Links: GitHub · Google Scholar · Email · CV(pdf)