I design and build software, developer tools, and AI workflows that help make teams faster and systems easier to operate.
Across projects, I focus on making work repeatable, understandable, and useful beyond the first launch.
Most of my work falls into a few connected areas:
I design systems where APIs, events, data, deployments, and operations are organized to be easy to understand, change, and run. Most of that work centers on building clean infrastructure-as-code serverless services on top of AWS and other cloud providers.
I build tools that remove repeated work from engineering teams and help good work compound. That often means CLIs, libraries, CI/CD workflows, code-generation tools, documentation automation, and other open-source utilities.
Analytics and telemetry systems that help teams understand how people use their products. I've built and maintained an open-source analytics library ecosystem and have instrumented product telemetry across every company I've worked with.
Tooling, prompts, agentic workflows, automation, and practical patterns that help teams and end users use AI to move faster and get more done.
I've worked across product engineering, developer tools, platform architecture, and developer education. That includes early engineering work at Vendia, product and platform work at Netlify, developer advocacy and tooling at Serverless, UI systems at MuleSoft, and content/conversion work going back to HubSpot and Inbound Now.
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