I'm an engineering manager who has spent the last nine years obsessed with one question: how do you make engineering teams ship better software, faster?
I started my career at General Dynamics Mission Systems, where "software engineering" looks more like manufacturing than most engineers would recognize. Everything runs on TQM disciplines, teams of teams coordination, and a relentless focus on process quality. I worked on adoption and productivity improvement across those teams: untangling dependencies, scaling CI/CD and delivery pipelines, and building a DoD-focused software factory on AWS, GitLab, Kubernetes, and Terraform. It's where I learned that shipping isn't a technical problem. It's a systems problem.
That foundation in large-scale coordination gave me a different lens when I moved to PHIL, a smaller company where I carried significantly more ownership. I built an automated feature environment factory — maintaining our entire platform as declarative components and automating the provisioning of isolated environments for every developer on the team. I redesigned our change management around GitOps and ArgoCD, taking us to hundreds of deployments per day. I built the IaC pipelines that scaled our infrastructure as the company shifted to a serverless architecture on AWS.
The common thread across all of this is engineering experience and developer productivity — removing friction from the path between "idea" and "shipped." That's what led me to agentic systems. When I saw what was possible with AI-driven development workflows, I didn't pivot away from what I'd been doing. I applied the same rigor to a new set of tools: designing experiments, defining measurement strategies, and iterating on quality, speed, and cost — in that order. The result was a production agentic SDLC that fundamentally changed how my team builds software.
Career
Senior Engineering Manager
Platform engineering, developer experience, and engineering productivity. Built automated environment provisioning, GitOps delivery pipelines, and serverless infrastructure at scale. Pioneered agentic SDLC process with structured experimentation and measurable outcomes.
Engineering / DevOps
Cross-team productivity and adoption across large-scale defense software programs. Built a DoD software factory on AWS, GitLab, and Kubernetes. Scaled CI/CD, testing, and delivery infrastructure across coordinated teams of teams.
Speaking
I'm a former competitive debater and debate coach, and I bring that to my professional work. I present frequently on engineering productivity, AI adoption, and agentic development. If you're looking for a speaker on any of these topics, get in touch.