For 18 years I've built the platforms, pipelines, and cross-team practices that let developers focus on creating value instead of fighting their tooling — now with AI agents at the center. I design for failure, reduce cognitive load, and build systems people actually trust.
I'm a Principal-level engineer who comes into an organization and raises how fast — and how safely — it ships. Most of my career has lived at the intersection of development and infrastructure: I architect the platforms and practices that let teams move quickly without breaking trust. At CareJourney I took deployments from monthly, high-risk events to multiple routine releases a day, ran a company-wide shift-left initiative, and built AI-powered internal tools — all in a HIPAA-compliant environment.
The hard part of adopting new technology — especially agentic AI — isn't the demo. It's making it reliable, governed, and actually adopted across teams. That's the exact motion I've run for years: stand up the tooling, define the guardrails and evaluation practices, wire it into CI/CD, and get engineers to trust it and use it.
As a private pilot, I think about reliability differently. Aviation doesn't forgive sloppy design or heroic workarounds — it demands systems that work predictably when people are stressed and time is short. Elegance isn't decoration; it's what makes a system reliable.
Upload a recipe as a PDF, phone photo, or URL and a pipeline extracts it into structured data; then ask plain-English questions ("what can I make tonight?", "add the Tuesday pasta to my list") and a retrieval-grounded assistant answers using only your recipes, with citations. Ten independently deployed services, all infrastructure-as-code.
A personal product, currently in private beta. Source is private; the case study walks through the architecture and the agentic-AI design.
Adopted Cursor and ChatGPT early, finding real production uses and bringing AI-assisted development into everyday engineering practice well before it became an industry category.
Built an AI classifier in Python that categorized failures by type, routed each to the right engineer, and suggested next steps right in the Slack alert to get them moving. Often caught and resolved issues before users were even affected — with a roadmap to auto-generate fixes and update code for new dependency versions.
Two Python agents in the pull-request flow: one summarizes each PR so reviewers context-switch and review faster; a second flags security and style issues — cutting review time and raising consistency.
Built and led a cross-team Node.js/TypeScript service using GPT-3.5 to turn plain-English questions into SQL — giving non-engineers self-service data access and taking engineering out of the loop for routine analytics.
Architected and shipped AI-powered internal developer tools on Amazon Bedrock that automated monitoring, compliance, and engineering workflows — in a regulated, HIPAA-compliant environment.
Went deep on agentic AI by building — self-directed study of LLMOps, RAG, evaluation, and multi-agent orchestration, shipping production systems to prove the practices: Mealr (a multi-tenant agentic platform — RAG, an MCP server, an agentic ingestion pipeline, and an AI insights agent on AWS AgentCore, all serverless IaC) and an AI-powered sleep-pattern tracker.
Drove early agentic AI adoption across engineering, built a CI/CD failure-triage agent and a natural-language-to-SQL POC, and took deployments from monthly to multiple per day — while leading a company-wide shift-left and setting architecture for new applications under HIPAA.
Built the CI/CD and infrastructure-as-code foundation (Terraform, CDK, AWS) that later enabled multiple-deploys-per-day, and partnered across engineering and security to make compliance automatic rather than a release-time bottleneck.
Worked across engineering, product, and customer teams to design cloud engineering efforts across AWS, Azure, and GCP for multiple enterprise SaaS products — architecting infrastructure, driving significant cloud-cost savings, and improving developer productivity through testing and observability.
Led the DevOps team for a highly available digital ad service, directing automation tooling for testing and deployment and improving release speed through efficient CI/CD practices.
A deep infrastructure foundation — virtualization, storage, monitoring, and high-availability systems — at Driven, Cooper Notification, and Symplicity.
I'm looking for a Principal or platform-lead role where I can set architecture for new applications and bring agentic development practices into the org — the kind of change that sticks.