About
Maksim Loginov is an AI / ML researcher and developer focused on reinforcement learning, multi-agent systems, industrial decision-support systems, and simulation-based optimization.
Current Focus
- Industrial maintenance optimization
- Human-in-the-loop decision loops
- Multi-agent reinforcement learning
- Uncertainty modeling with evidence theory
- Research-to-prototype engineering
Engineering Orientation
I build small research-oriented prototypes: simulation environments, data-processing scripts, API experiments, dashboards, and reproducible experiment pipelines — connecting formal models to code that can be tested and iterated in simulation.
Collaboration Interests
- ML / Data Engineering roles
- Research collaboration in RL / MARL / uncertainty modeling
- Industrial AI proof-of-concept studies
- Simulation-based decision-support systems