CV
Profile
AI / ML researcher and developer focused on reinforcement learning, multi-agent systems, and simulation-based industrial decision-support prototypes.
Target Roles
- ML Engineer
- Data Engineer
- ML / RL Researcher
- Research Engineer
- Industrial AI / Decision Support Prototyping
Education
- Master's degree — details to be added
- PhD (Candidate) research track — formal models for hierarchical MARL in industrial MRO — institution and timeline to be added
Research Interests
- Reinforcement Learning
- Multi-Agent Systems
- Hierarchical RL
- Human-in-the-Loop decision-making
- Dempster–Shafer theory
- Industrial maintenance optimization
Technical Skills
Machine Learning / RL
- Reinforcement Learning
- Multi-Agent Reinforcement Learning
- Hierarchical RL
- Simulation-based optimization
- Experiment logging
Data / Engineering
- Python
- C++
- SQL
- Data analysis
- API prototypes
- Docker
- Linux
- Git
Tools
Listed only where referenced in site projects and posts:
- Gymnasium (simulation environments)
- PyGame (visualization)
- FastAPI (API prototypes)
- Docker (containerized experiments)
Selected Projects
- Dempster–Shafer Theory for Industrial Diagnostics — published research + demo
- Industrial MRO Optimization with Hierarchical MARL — simulation research prototype
- RL Simulation Environments — experimental testbeds
- Data / ML Engineering Sandbox — under development
Publications / Research Outputs
Peer-reviewed publications, accepted manuscripts, working papers, and concept notes are maintained on the Research page.
- Research directions & publication table
- Dempster–Shafer Theory for Condition Diagnosis of Continuous Casting Machines — Published
Contact
PDF version: Download CV (PDF)