Start with the people
Learn how the work actually gets done from the people who do it, then build with them through rollout.
Operations / AI where it earns its place
Operational AI, adopted by people.
I translate operational needs into software and help leaders use data to make decisions. Most recently: rolling out a production MES alongside the people who run the floor.
Austin, Texas · Open to AI transformation roles
Matthew RundleBuilder. Team leader. Hands-on.
AI Transformation6
Data scientists built and managed at Expedia Group.
12+
Years across analytics, team leadership and software delivery.
This résumé
Applied AI and Operational Transformation
Expedia Group / Vrbo, National Instruments, The Advisory Board Company
How I work
Adoption is the deliverable.
Connect the teams
Replace disconnected tools with shared workflows, so every team works from the same data.
Inform the executives
Established an executive analytics function for commercial strategy and resource allocation.
How change sticks
- LISTENPeopleMap how the work is done today
- BUILDWorkflowSoftware shaped to that work
- ROLLRolloutHarden with the people using it
- INFORMLeadersData that changes decisions
Selected work / 01—03
Built to be used.
Three systems, three different businesses. Ownership from the problem through production.
The software that runs Western Magnetics’ factory.
I built the manufacturing execution system (MES) and ERP the company runs on: every build, quality check, purchase, inventory move and shipment goes through it.
The setting
A hard-tech startup that needed software built around the factory’s real operating needs, with the people doing the work.
Next.js · TypeScript · PostgreSQL · Prisma · Docker
01
Worked directly with production staff from prototype through integration, hardening and rollout.
02
Connected production, procurement, quality, traceability and factory operations through shared workflows.
03
Used AI coding agents throughout development while owning review and hardening.
FROM THE FLOOR TO THE BUSINESS
Factory devices. Edge integration.
Cloud-connected operations.
Factory devices connect through an edge device to the MES. Tablet interfaces are part of the MES, which connects to the cloud-hosted ERP.
FACTORY DEVICESMachines · controllers · sensors
01WindingEquipment signals & results
02Press / assemblyEquipment signals & results
03BalancingEquipment signals & results
04Electrical testEquipment signals & results
Equipment connections Machine states, measurements & test results
ON SITE / EDGE
Edge device
The connection point between factory equipment and the MES
Equipment data into the MES MQTT as a messaging design principle
MANUFACTURING OPERATIONS
MES
Work orders · routings · material genealogy · quality · production records
Tablets / operator interfaces
Part of the MES: where operators interact with the manufacturing workflow.
MES ↔ ERP Versioned API contracts & defined data ownership
CLOUD-HOSTED
BUSINESS OPERATIONS
ERP
Orders · purchasing · planning · financial inventory
ISA-95
A shared model for operations, materials, equipment and personnel. Routings and BOMs connect to versioned definitions and resource requirements.
Enterprise / control integration ↗Purdue model
Use the separation of business operations, manufacturing operations and equipment control to reason about responsibilities. The diagram shows the device-to-MES-to-ERP path, rather than a literal Purdue network stack.
Industrial network layers ↗MQTT
Publish equipment events through a broker so consumers can subscribe without coupling directly to each machine.
Publish / subscribe messaging ↗API-first contracts
Define schemas, versions and error behavior at service boundaries. Producers and consumers can evolve against an explicit contract.
Amazon / AWS service-contract guidance ↗Simplified view: factory devices → edge → MES → cloud-hosted ERP. Tablet operator interfaces belong to the MES. Design principles describe the approach; they do not specify every deployed service or network control.
AI that handles a small business’s calls, texts and email.
One platform for outreach and follow-up. AI agents make and answer calls, work the inbox and book appointments, then turn conversations into orders.
- Verifies conversation outcomes before creating follow-up tasks.
- Detects stalled work, bounds retries and escalates to a person when needed.
- Drip campaigns, cold and warm-lead calling, AI inbox handling and scheduling through one agentic process.
Next.js · TypeScript · Supabase · Inngest · Retell · Twilio
AI that writes the dentist’s chart notes.
After a patient visit, Scribe drafts the clinical note and billing codes for the dentist to review and approve. It also tells the practice what supplies upcoming appointments need.
- AI-drafted SOAP notes, ICD and CDT codes and procedural notes.
- Clinicians edit, review and approve the drafts; review is built into the workflow.
- Connects upcoming appointments to inventory and practice operations.
Next.js · React · Supabase · Anthropic · OpenAI
Experience
Build it. Lead it.
Understand the business.
Expedia Group / Vrbo · 2019–2025
Data is useful when it changes a decision.
I built and managed a team of six data scientists, working with executives on the commercial decisions behind a travel business.
- Build the team. Shared Python and SQL standards for analytics work.
- Understand the market. Segmentation across more than 15 variables to prioritize high-value property acquisition.
- Inform the executives. Integrated disparate data into executive reporting for strategy and resource allocation.
2026 — Present
Western Magnetics
Manufacturing systems and applied AI
Built and deployed the MES and ERP running production, quality, purchasing, inventory and shipping.
2025
Domain Labs
Founder, AI and SaaS Solutions
Designed and built custom SaaS for small businesses, including CoreLinq Communications and CoreLinq Scribe.
2021 — 2025
Expedia Group / Vrbo
Senior Manager, Supply and Commercial Data Science
Built and managed a team of six data scientists. Established executive analytics for commercial strategy and resource allocation.
2019 — 2021
Expedia Group / Vrbo
Manager, Analytics and Data Science
Market segmentation across more than 15 variables; regional reporting for sales visibility and prioritization.
2013 — 2019
HomeAway · National Instruments · Advisory Board
Analytics and consulting
Global reporting, data analytics consulting and business analysis.
Toolkit
Operational delivery
Workflow and system design, stakeholder collaboration, integrations and software rollout
AI implementation
LLM APIs, agent orchestration, human review workflows and AI-assisted development
Decision support
Executive reporting, commercial prioritization, segmentation and data modeling
Fair questions
What people
usually ask.
Have you run an enterprise change program?
Not as a formal program owner. My transformation work is hands-on: building and rolling out the systems, with the people who use them, and running analytics that executives relied on.
How do you get people to adopt new software?
Build it with them. The MES went from prototype to rollout with production staff involved throughout, so it reflected how they actually worked.
Where should a company start with AI?
With a workflow that has a clear outcome and a clear person to review it. AI drafts or decides; the system verifies; a person approves when it matters.
How do you work with executives?
At Expedia I established an executive analytics function and integrated disparate data sources so leaders made decisions from the same numbers.