A supply-chain operator who orchestrates AI to build. I ship production software end to end by directing fleets of CLI coding agents and LLM pipelines — Python and TypeScript, React front ends on Cloudflare’s edge, real-time data systems, and cross-platform desktop and mobile apps — designing the system, steering the agents, and holding the review gate that keeps the output correct. Production LLM features, tool-use pipelines, and agent fleets are how the work gets made, not a side interest. Deep operational domain (MRP, BOM, planning, logistics) is the edge that tells me what to build; the velocity is turning a pain point into deployed, owned software fast. I move into an unfamiliar language, framework, or domain quickly and come out the other side with working software.
Experience
Founder & Operator · AppliedIQ Solutions
Remote
A one-person software practice: custom operational tools and full-stack applications, designed and shipped end to end by an operator who has run the floor. Working software people own and use — not slideware.
Build and ship full-stack applications end to end — React 19 front ends, Cloudflare Workers + KV back ends, real-time data over server-sent events, and a local-first JSON file-database operations console — from design system to edge deploy.
Work across Python (data tooling and automation), TypeScript / JavaScript, and Rust — including a cross-platform desktop-and-mobile PDF suite built on Tauri.
Engineer production LLM features: Anthropic tool-use and structured-output pipelines, and streaming assistants that are rate-limited, spend-capped, and adversarially hardened.
Orchestrate fleets of CLI coding agents — headless dispatch through an inbox → active → review → done queue with a human review gate enforced in code, plus a nightly scheduled agent that briefs me before I wake.
Run zero-trust infrastructure solo — Cloudflare Access, Tunnels, Workers, and DNS over a private Tailscale mesh to a self-hosted server — behind a safe-export firewall that keeps private detail off the public web on every deploy.
Prototype on representative, synthetic data by design: the architecture and domain logic are the deliverable, so tools prove out without ever touching a client’s private systems.
Supply Chain Analyst · A global home-appliance manufacturer
2022 – Present
North America
Deep inside end-to-end supply-chain operations — the flow of material through real plants and the systems that run it, from planning and sourcing to production, logistics, warehousing, and engineering.
Own the operational mechanics most software is built without ever touching — down to the MRP and BOM logic underneath planning and material constraints.
Help shape the strategy, scope, and rollout of AI across the company’s North America region — bringing an operator’s view of where automation actually creates value.
Skills
Languages & runtimes
Python
TypeScript
JavaScript
Rust
SQL
Bash & PowerShell
HTML & CSS
Full-stack & systems
Astro
React 19
Next.js
Node.js
Cloudflare Workers & KV
Real-time (SSE)
Local-first & file databases
Tauri (desktop + mobile)
Systems architecture
Applied AI & agents
LLM application design
Anthropic tool-use & structured outputs
Agentic workflows
CLI-agent orchestration
Claude & Claude Code
Prompt engineering
MCP
AI adoption strategy
Infrastructure & DevOps
Cloudflare (Access · Tunnels · Workers · DNS)
Tailscale mesh
Self-hosted server
Git & GitHub CLI
CI/CD
Zero-trust access
Safe-export security gating
Supply chain & operations
End-to-end planning
MRP
Bill of materials (BOM)
Sourcing & procurement
Production planning
Logistics & warehousing
Inventory
S&OP
Education
B.S., Business Administration (minor, Management) · Eastern Connecticut State University
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