About

I’ve spent my career in infrastructure — first building IT systems for small and mid-size businesses, then operating data centers at a scale that didn’t exist when I started.

// OpenAI — Stargate

I joined OpenAI in July 2026 as a Member of Infrastructure Staff, focused on partnership and delivery for the Stargate program. Stargate is OpenAI’s initiative to build the world’s most advanced AI infrastructure ecosystem — next-generation datacenter campuses purpose-built for frontier AI compute at a scale the industry hasn’t seen before.

The work is Stargate. We’re building the world’s most advanced AI infrastructure — datacenter campuses at a scale that’s genuinely new.

This is the work I’ve been building toward. Thirteen years at Meta taught me how to operate infrastructure at hyperscale, how to build the teams and systems that make delivery reliable at gigawatt class, and how to hold complex cross-functional programs together when the stakes are high and the timeline is tight. Stargate is a different order of magnitude, and that’s exactly why it’s the right next thing.

I’m still the same operator I’ve always been: first principles, direct, focused on outcomes over process. I just have a bigger canvas now.

// Meta — 13 years

I joined Meta in 2013 as a data center technician at a single campus in North Carolina, when the fleet was still at the Megawatt scale. Over 13 years, I grew with the team through multiple Gigawatts as we scaled toward a planned 12+ GW by 2027. I directed operations for Meta’s South region — ~24% of Meta’s GPU fleet and total megawatts. We grew the region from 754 MW to 1,070 MW (+42%) in 18 months under my Area Lead tenure, and I supported the turn-up of Hyperion in Louisiana — Meta’s next-generation campus that will be the size of Manhattan and 5 GW at full build-out.

What I built at Meta

Multiple regions from the ground up. Our team commissioned and deployed new data center regions from dirt to production traffic — including Meta’s first all-Turin server region, delivered on schedule. We positioned thousands of racks per year at rates up to 750 racks/week with single-day records of 200 racks.

AI Evangelist for Global Site Operations. I didn’t just govern AI initiatives — I used AI tools daily. I built AI agents into my own workflow for meeting prep, workforce modeling, data analysis, and operational reporting. That hands-on fluency was why I was designated AI Evangelist for Meta’s Global Site Operations org — leading the work of sharing best practices, writing about what works, and demonstrating how to make AI-native operations the default rather than a bolt-on. The goal: help every team start with AI in every workflow, not retrofit it later.

An AI Operations program with measurable results. I founded and led Meta’s data center AI Operations program (2022). In its first year, the program drove a 49% reduction in unplanned downtime and interruptions on training infrastructure, a 70% reduction on inference infrastructure, and a 180% improvement in diagnostic accuracy. I co-created the new hardware introduction process now used across Grand Teton, MTIA, NVIDIA GB200, and GB300 deployments.

Operations that scaled by way of quality systems that work. Every year, dozens of cutting-edge server platforms flowed through the NPI pipeline with minimal telemetry or diagnostics out of the box. Our team drove continuous improvement into how we troubleshot and repaired these systems — composite scoring frameworks, retired legacy metrics, LLM-powered quality assessment — and we leveraged Agentic AI to exponentially accelerate that process.

Organizational design for hyperscale. I authored and globally deployed the Leadership Deployment Model — a 9-month cross-functional effort with HR and Legal that enabled site operations to support the planned 12+ GW fleet without adding regional leadership headcount.

Teams people stayed with. The infrastructure stories are easier to tell, but the work I’m proudest of is the team. Operators, managers, and engineers followed me across roles and locations because the bar was high, the work was meaningful, and the development was real. I promoted FTEs into Site Manager and developed managers into Directors. I sustained top-quartile engagement scores through periods of rapid growth and organizational change. When I took on a new region, I didn’t just bring a strategy — I brought a team and grew the one I found.

Government & community relations

Data centers are a meaningful presence in the states where they operate — tax base, employment, infrastructure, policy implications. Part of my role was showing up for that conversation.

I had the opportunity to meet with Governor Brian Kemp on multiple occasions, representing Meta’s work in Georgia and hosting the Governor and other state officials for tours of our data center campuses. I made multiple trips to the State Capitol in Atlanta to meet with legislators on the importance of data center infrastructure to the state’s economy.

Similar opportunities came up across other Southern states — meeting with state government officials, economic development authorities, and community organizations to represent the industry and the company in the places where we operated.

The work I’m proudest of in this lane isn’t the photo with the Governor. During COVID, when kids in our communities lost access to school overnight, we put one-to-one technology in the hands of every kid in all four counties around our campuses — underserved counties without the tax base or means to do it themselves. I continued that work through 4-H, robotics, and other programs that give kids a glimpse of what they can build if they get the tools to try. The governor visits matter. The kids matter more.

Before Meta

I spent over a decade in IT infrastructure. I designed and deployed systems across Unix, Linux, VMware, and Windows environments as a systems engineer and architect. I co-created managed cloud service offerings. I directed technology operations for a multi-state retailer with around 400 employees, partnering with the CEO and CFO on strategy and managing all infrastructure end to end.

I started my career as a hands-on engineer. That foundation — understanding how systems actually work, not just how they look on a slide — still shapes how I lead.

How I got here

I’ve been at this since elementary school. My dad was an electrical engineer at GE; he brought home some of the earliest personal computers and taught me to solder. I was interfacing with the GE mainframe in elementary school, writing code on my own PC by middle school, and building PCs from parts not long after. The instinct to take systems apart and put them back together came before the career did.

That hasn’t changed. I’ve always been an early adopter — first to try every new model, every new agent framework, every new tool. Part curiosity about how things work; part impatience to find out what I can make them do. It’s the part of the work that still energizes me most.

Outside work

I’ve completed several half and full Ironman triathlons, and these days I spend my time woodworking, coding side projects, and cooking food that’s probably too spicy. I live in Athens, Georgia with my partner Aimee and our two dogs, Olive and Huck. Wish me luck — Aimee’s currently puppy-shopping for a third.