Ian Provencher
Podcast

Résumé

Ian Provencher

Supply-chain operations and applied AI — the planning problems worked firsthand, and the software that fixes them directed and shipped end to end.

I work in supply-chain operations — material availability and shortages, inventory policy, production planning and capacity, order fulfillment and service level, engineering change, inbound logistics and master data — and I direct AI to build the software those operations need: CLI coding agents and LLM pipelines, Python and TypeScript, React front ends on Cloudflare’s edge, real-time data systems. I design the system, steer the agents and hold the review gate on what they ship. The operations decide what gets built; AI is how it gets built.

Experience

Founder & Operator · AppliedIQ Solutions

Remote

A one-person practice: supply-chain planning tools built to order for manufacturers, and websites and finished tools for local businesses, each designed and shipped end to end.

  • 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.
  • 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 Material Analyst II (Supply Chain Analyst, 2022 – 2026) · A global home-appliance manufacturer

2022 – Present

North America

End-to-end supply-chain operations — the flow of material through the plants and the systems that run it, from planning and sourcing to production, logistics, warehousing, and engineering.

  • Built working tools for material coverage and shortages, inventory policy and excess stock, capacity and line levelling, order-confirmation misses, engineering-change cut-over and inbound shipments.
  • Help shape the strategy, scope, and rollout of AI across the company’s North America region.

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 (Concentration in Management) · Eastern Connecticut State University

This is my public résumé, last updated . For a role-specific version tailored to a job description, get in touch.

Information last changed · current · kept by hand