I've run supply chains at Amazon, CVS, and Clean Harbors. Then I spent a year building the AI myself.
Twenty years of operational transformation. More than $100M in realized efficiencies. This past year, five working AI systems built from scratch. Engineer, operator, builder.
The Record
in cumulative realized efficiencies
Amazon
$90M+$70M annualized savings via inbound cross-dock network redesign, plus $20M in transportation optimization
Clean Harbors
$50M+Cumulative sourcing and planning savings across 200+ locations through sourcing strategy redesign, vendor rationalization, and full supply chain transformation
CVS Health
$20M+Logistics, distribution, and inventory savings via a total cost-to-serve model built from scratch
Peakview Labs
5 SystemsFive working AI systems I designed and built solo across manufacturing, grocery, healthcare, retail, and automotive, developed with feedback from real companies. Self-directed proofs of concept.
Career Arc
Process engineer, supply chain operator, AI builder. Most executives have one of these. The combination is rare.
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Case Studies
Enterprise transformations I led, and the AI systems I designed and built at Peakview Labs with feedback from real companies.
The AI Angle
Most executives talk about AI strategy from a distance. I build it. Five working systems across five industries, designed and built over the past year with feedback from real companies.
Builds, Not Manages
I have personally architected and built LLM-based agents, real-time data pipelines, IoT sensor integrations, and legacy ERP connectors. This is hands-on engineering, not vendor management.
The Lesson from Peakview Labs
The technology is rarely the hard part. Trust, data, incentive alignment, and human-in-the-loop design are what determine whether AI gets adopted. That lesson came from building, not from a report.
MIT Guest Lecturer
In early 2026, I presented case studies on AI-driven supply chain strategy to MIT graduate students. The ability to teach it means the ability to translate it to any organization.
Technical Stack
How an AI Operational System Works
The human layer is where most AI projects fail. It is where I start.
Supply Chain Intelligence
Current industry developments analyzed through the lens of my experience. Commentary is AI-generated using my background and perspective as context.
Job Fit Analyzer
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Talk to Graham
Ask me anything about my background, my leadership style, how I think about supply chain problems, or what I learned building AI into operations. I will answer the way I would in a real conversation.
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What's Next
After a year building AI systems from scratch, I want to bring that operator-plus-builder combination back inside a company, at scale.
The work I do best is transformation. An ERP modernization. An S&OP process that isn't functioning the way it should. AI adoption stuck at the pilot stage. A post-acquisition integration. I've done the operational scaling at Amazon and CVS, the enterprise transformation at Clean Harbors, and the hands-on AI building at Peakview. That combination is unusual, and it is most valuable where supply chain complexity actually matters to the business.
I'm based in Greater Boston and open to Boston-area or remote roles. On industry I'm flexible. What matters more to me is working on something that matters, with people I respect, in a culture that moves.
If you're thinking about a specific opportunity, I'd love to talk.
Get in Touch
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