Agents and pipelines.
Built, not pitched.
Python and TypeScript. Agent frameworks, MCP servers, graph databases. I came from sales ops — I know what a tool needs to do before I build it.
Core Stack
Projects
Things I've built — from autonomous agents to macOS apps.
Federal Election Dark Money Trace
Lead Research to Meeting Pipeline
Kuzu Memory Graph MCP
ElevenLabs Voice MCP
PDF Text Splitter for TTS
Historical Mirror
ExPatPlan
Historical Mirror for macOS
ElevenLabs macOS Voice
You Swine
Agent Dojo
12 projects
About
I came into tech through sales and revenue operations — five years at a SaaS company where I managed pipelines, ran demos, and eventually led our AI implementations. That gave me a working picture of what software is actually supposed to do, which turns out to be harder to find than the ability to write it.
Now I build AI agents, workflow automations, and the tooling around them. Python and TypeScript mostly. I'm not trying to replace anyone — I'm trying to get rid of the work that shouldn't have been manual in the first place. There's a lot of it.
Most real problems sit between the technical and the business case. I can write the code and explain why it needs to exist. That's a rarer combination than it should be, and it's the main thing I bring.
AI & Agents
- Claude API
- LangGraph
- LangChain
- CrewAI
- Langfuse
MCP & Tooling
- Model Context Protocol
- FastAPI
- ElevenLabs API
- httpx
- n8n
Data & Graph
- Neo4j
- pgvector
- pandas
- Cypher
- KuzuDB
Frontend
- Next.js
- React
- TypeScript
- Tailwind CSS
- Framer Motion
Backend
- Python
- FastAPI
- PostgreSQL
- Redis
- SQLAlchemy
Cloud & Infra
- Google Cloud Platform
- Vertex AI
- Docker
- Kubernetes
- n8n