Six years of platform, cloud, and developer-experience work at John Deere, and a current chapter spent turning agentic breakthroughs into shared engineering capability. Most of it sits behind the enterprise firewall, so these case studies separate operational facts, active experiments, and intended outcomes rather than implying more evidence than I can publish.
Where my work points now: building the team-owned systems that make agentic engineering repeatable. That means shared context, repository-owned harnesses, governed agent workflows, and evidence that shows which practices improve delivery under which conditions.
On a three-person team investigating how AI changes the software development lifecycle, I help turn field observations into reusable capability. We pair a practitioner cohort with a governed team brain, an explainable evidence product, and repository-owned harnesses so useful patterns can be tested, inspected, and shared.
The platform years the AI thesis is built on: compliance automation across 50,000+ repositories, a network consolidation that saved seven figures, and the unglamorous plumbing that let other teams move fast.
On the Developer Experience product within John Deere’s enterprise platform organization, serving engineering teams company-wide, I built the tooling, governance, and automation behind the path from pull request to production. The work spanned an event-driven compliance platform monitoring 50,000+ repositories, enterprise incident response, and AI-assisted diagnostics that cut production investigation from hours to minutes.
Led an enterprise-wide network consolidation across ~2,000 VPCs, optimizing NAT Gateway usage to cut annual cloud spend by $1M. Orchestrated a DNS migration that remediated 140,000+ security vulnerabilities with 100% uptime during cutover, and migrated 10,000+ AWS ACM certificates from email to automated DNS validation, making renewals fully automated enterprise-wide.
I owned AWS account automation and the operational plumbing thousands of engineers depended on daily. Replaced a manual, hour-long account and VPC deletion process with an event-driven Step Functions and Lambda system (hours to seconds), designed out DNS subdomain-hijacking risk across ~900 hosted zones, and cut developer onboarding from hours to minutes with Dev Containers.
Within ISG Digital, I worked behind the customer experience for purchasing digital capabilities on John Deere equipment, such as enabling See & Spray on a combine. During a hackathon, I built a secure data-ingestion pipeline that proved license data could serve internal teams while preserving isolation and access controls, helping make the case for an enterprise Data Engineering team.
At John Deere Financial, I helped turn an early API-gateway effort into a safer path for dealer software by architecting the platform's first external-facing API with role-based authorization and audit logging. That foundation later matured into the JDF API Gateway used for both internal and external APIs.