I build production AI agent systems and data pipelines — not demos. From MCP servers with live remote endpoints to algo trading bots that fire real signals on first run.
Three production systems — each one live, tested, and doing real work.
Production MCP server with 24 tools, token-based auth, remote HTTPS endpoint via Cloudflare Tunnel, SQLite backend, and local LLM routing via Ollama. A full agent architecture built from scratch and used daily.
BTC/ETH pairs trading bot using z-score mean reversion. Fired a SHORT signal at Z+2.71 on first run against live market data. Prop-firm-aware risk layer with 2% daily drawdown hard limit.
dbt + BigQuery gaming analytics pipeline. Three-layer architecture — staging, dimension, fact — with 15 passing data tests, documented schema, and live visualizations. Answers: which games gave the best value per dollar?
Built on the Steam Analytics dbt pipeline. Real data, running in BigQuery.
8+ years enterprise experience across the full data stack.
I'm a Senior Data Analyst and Analytics Engineer with 8+ years of enterprise experience. My career has a consistent pattern: enter a broken or immature analytics environment, restore data trust, and leave behind governed, self-service systems that don't need me to function.
More recently I've been building AI agent infrastructure independently — DunnHub is a production MCP server I use daily, and it's also the clearest demonstration I know of what real agent architecture looks like versus what people put in slide decks.
U.S. Navy veteran. Based in Port St. Lucie, FL. Open to remote roles — contract or permanent.