I build AI agents that automate import logistics operations.
I work the Import VIP desk at one of the world's largest container carriers, managing operations for its highest-value accounts. That's where you learn where freight operations bleed time: invoice matching, container exception hunting, carrier chasing. I build the agents that do that work — grounded in how ops actually run, not how software vendors imagine they run.
| Project | What it does | Try it |
|---|---|---|
| Middle Watch | On-water exception detection: vessel swaps, added transshipments, transit drift, dwell. Agentic tool-calling + MCP, field-level evidence on every line. 0% false positives against 12,460 planted near-misses (40k containers, seed 7). | Demo · Code |
| Freight Document Intelligence | Cited Q&A and cross-document reconciliation over full shipment doc packs. 12/12 discrepancies caught, 10/10 citations verified against source text. | Demo · Code |
| Import Desk Automation | Invoice↔booking matching, overcharge detection, AR audit. | Dashboard · Code |
All demos run on synthetic data. Deterministic pipelines with a Claude reasoning layer on top — the math never depends on the LLM.
Python · Claude API (tool use) · MCP · RAG · Pandas · GitHub Pages — agents designed for adoption: they output what ops teams already use, flag rather than auto-act, and measure hours saved, not model metrics.
🚢 Import VIP desk @ one of the world's largest container carriers · 📍 Miami · 🇫🇷 French
