I run high-volume logistics operations — 140+ routes, 60+ people, 19,000 pieces a day — and I build the data pipelines, dashboards and local-AI tools that make those operations measurable. Seven years across US Foods, UPS, FedEx and Amazon, from the driver's seat to the dispatch desk.
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Every tool below exists because a real operational problem needed an answer. Built on local LLMs and my own hardware — no cloud dependency, 100% no data retention.

Self-managing AI architecture: local LLMs execute, Claude agents supervise and self-repair, an Obsidian vault is the shared memory layer. A KPI scorecard tracks each model's success rate and routes the hardest tasks to the best performer — zero manual prompting.

My UPS business manager was drowning in CSV exports. I built a data-analysis tool on my home server — Raspberry Pi 5 (16GB, NVMe) running a local LLM, Python for the heavy statistical analysis, JavaScript front end. He got charts and answers; the data never left the building.

Package-error prevention tool I designed for the Capitol Heights cross-dock floor: tracks every inbound and outbound package's state in real time, catches errors before they ship, and stores nothing in any external database.

Self-built and deployed end-to-end: a Dock Yard Management System, FMS-Lite fleet manager, a gig-work management platform, and more — every one solving a logistics workflow I've lived myself.
Two live businesses, built and operated end-to-end: product, tech, marketing and fulfillment.
Self-publishing bookstore — books written, produced and sold under my own imprint, from manuscript to Amazon KDP to storefront.
App-building studio — the home of my self-built web apps: dock yard management, fleet tools, gig-work platforms and more, deployed on Firebase.
Driver → lead → trainer → dispatcher → supervisor → operations. When I supervise 60+ people, I know exactly what their day feels like — I've done every one of those jobs.
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A logistics operations leader in Springfield, Virginia with 7+ years across US Foods, UPS, FedEx and Amazon — 140+ daily routes coordinated, 60+ personnel supervised, 19,000 pieces handled per day. He also builds the data pipelines, dashboards and local-AI tools his operations run on.
Logistics leadership, operations supervision, dispatch, and operations-technology / data-analytics roles. Springfield VA area — on-site, hybrid or remote. Reach him at thachle87@icloud.com or on LinkedIn.
He's done every job he now supervises — driver, courier, material handler, trainer, dispatcher — and he writes his own software: KPI dashboards, heat maps, a local-LLM CSV analytics engine on a Raspberry Pi home server, all with zero data retention. Ground truth plus data fluency in one person.
Hoang Le Bookstore — a self-publishing bookstore on Amazon KDP — and Panda The App, the studio for his self-built web apps.