About Me
I've spent 29 years in technology, most of it on the infrastructure side, which is the part nobody notices until it breaks. I started hands-on and I'm at the VP level now, and I still ask the same question about everything: is this actually going to work.
Today I run emerging technology across NTG and Transportation Insight. Almost all the engineering is outsourced, so most of my job is choosing who builds what, reading their designs, and deciding what we accept. I still build things myself when it matters, because that is how I find out whether a vendor's design is going to hold up.
Before that I ran DevOps, cloud strategy and enterprise architecture at Livingston International. That meant a multi-region AWS estate, the first infrastructure-as-code standards the company had, single sign-on for the customer-facing applications, and a security strategy built on NIST and ISO that got the engineering teams designing security in from the start instead of bolting it on at the end.
Key Expertise
Cloud Platforms & Architecture
AWS, Azure and Google Cloud. Multi-region estates, cloud strategy, enterprise architecture, and infrastructure that scales without being rebuilt
DevOps & Automation
CI/CD pipelines, Infrastructure as Code, Terraform, automated deployments, and process optimization
Applied AI
Order entry built on Google Cloud Vertex AI, model-parity evaluation against human-built answer keys, and the evaluation standards AI delivery vendors build against
Leadership & Vendor Governance
Technology roadmaps, budget ownership, vendor selection and design review, architecture review boards, and mentoring engineers
Career Highlights
• Emerging Technology Across Two Operating Companies: Stood the function up from scratch at NTG and Transportation Insight, and own vendor selection, design review and acceptance for AI, data and integration work
• Called a Platform Reversal: Started the order entry build on Azure, saw it was not going to get us there, and moved it to Google Cloud Vertex AI, where it shipped
• Multi-Cloud Leadership: Ran DevOps, cloud strategy and enterprise architecture on a $3.5M to $4.5M budget with 16 total reports, reporting to the CTO
• Deployment Efficiency: Cut deployment time by 60% through automated installations using Terraform, Packer, and AWS CodeDeploy
• Enterprise Scale: Built and managed AWS cloud environments growing to 50+ accounts across 4 regions, supporting enterprise transformations
• Infrastructure Automation: Achieved 95% reduction in server delivery issues and 84% decrease in image deployment time through automation standards
Professional Links
Contact
Email: [email protected]