Developer of things • Graph enthusiast • Tinkerer with structure and code

🧠 About Me I'm an '80s kid who started coding in BASIC back in middle school, but my real interest has always been in data — organizing it, analyzing it, and understanding how things connect. In the 2000s, I worked as an intelligence analyst, where I learned link analysis and developed a deep appreciation for graph-based thinking. That experience led me naturally into graph databases, where I’ve been exploring ideas ever since.

I’ve always been more drawn to databases and data modeling than to programming for its own sake. I like building systems that help make sense of complexity — especially when they involve structured data, clean design, and clear interfaces. Tools like Pydantic, FastAPI, and well-scoped agent frameworks fit that mindset well.

These days, I spend time in the Roo Code community as a regular user and helper, and I like testing out new tools when they intersect with my interests in graphs, typed Python, and modular design.

• llaam-index – A Data framework for LLM apps
• RooCode-Tips-Tricks – Notes and examples from daily Roo Code use
• fast-mcp – Experimenting with how agents can interact through the Model Context Protocol
• Graphiti – A tool for building real-time knowledge graphs for AI agents
• Cognee – Framework for building modular agent memory pipelines with graph data
• Mem0 – A memory layer that combines vector, key-value, and graph storage for agent reasoning
• PotPie – AI agent framework that builds knowledge graphs over your codebase