I build developer tools for autonomous AI systems — especially systems that need to be observable, debuggable, and useful in real production workflows.
My work is centered on graph-native intelligence, local-first software, and better interfaces for understanding how agents think and act.
| Project | What it does | Stack |
|---|---|---|
| Arbor | A graph-native intelligence layer that turns codebases into queryable knowledge systems. | Rust Graphs MCP |
| Hive-Mind | A collaborative IDE experience where multiple AI agents work together inside the editor. | TypeScript VS Code Agents |
| Agent Lens 2.0 | A local-first visual debugger for inspecting LangChain and CrewAI workflows in real time. | Python LangChain CrewAI |
| FinX v2 | A trading simulator designed to make financial learning interactive and practical. | Flutter Data Education |
- Graph-native systems
- Autonomous agent tooling
- Local-first product design
- Developer experience for AI workflows
Right now, I’m focused on building tooling that helps teams understand complex code and agent behavior through structure, visibility, and better feedback loops.