LLM researcher focused on reinforcement learning, agent systems, and practical AI infrastructure.
I build systems for agents that remember, coordinate, use tools, and operate in real workflows. I care about turning AI agents from demos into reliable products people can use every day.
- AI / Agents: LLM agents, tool use, memory systems, MCP
- Languages: TypeScript, Python
- Product: React, human-agent interfaces, automation workflows
- Research: Reinforcement learning, evaluation, long-context systems
- Reinforcement learning for LLM agents
- Long-running memory and context systems
- Reliable tool use and workflow automation
- Personal AI interfaces
Check my pinned repositories below to explore agent systems, personal AI interfaces, and automation tools.