I'm a software engineer interested in developer experience, automation, and emerging AI tooling.
Remote from Minneapolis, MN
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Founding member of PagerDuty's first Developer Experience team, which I lobbied to create. Leading AI enablement and Backstage adoption for 400+ engineers, and building the metrics that show whether the developer workflow is actually getting better.
Built an auto-merge service that checks pull requests against written policies and merges the safe ones, like no-op infrastructure changes and dependency bumps, without a human in the loop.
Responsible for engineering wide CI/CD (CircleCI and Buildkite), ArgoCD and ArgoRollouts, and infrastructure as code (Terraform and Atlantis).
Started the developer experience effort that grew into a dedicated team.
Developed internal status page solution for PagerDuty using Elixir.
Led and architected new incident assignment service which was the first microservice to extract previously synchronous work from the Rails monolith. Architected distributed Erlang based system to handle immense incident stream for the entirety of the PagerDuty platform, handling 100K+ operations a day. Written in Elixir, involved working with Aurora Postgres, Kafka, and distributed Erlang.
Mentored interns and junior engineers.
Founder of the Statusy project, a hosted status page solution. Built on top of a Flask backend with a JavaScript frontend. I grew Statusy from an idea to a successful product with five-figure annual revenue. It was acquired by PagerDuty in 2018 and became part of their internal status page solution. Statusy was ultimately spun down in 2020.
Assisted customers with integrating into the Plaid banking API. Corrected API issues and participated in creating internal tools to assist with customer support.
Employee number 1 at Virtkick, a virtualization platform. Responsible for building a distributed client for host machines that enabled virtualization through a pull model from a central API. Created using Node.js, C++, and Rails. Contributed to libvirt.
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Sesharo is a personal health and life-event tracker. It pairs one-tap logging with automatic feeds from wearables like Oura, Withings and Dexcom, plus calendar and location data.
An insight engine looks for trends and relationships across all of it. The numbers are computed deterministically; an LLM writes the weekly summary but never does the math.
Health data gets treated like health data: per-user row-level security and tiered encryption, up to end-to-end.
Ledeo is a news reader that tunes itself. It ingests RSS, extracts clean full text and ranks stories for each reader using a model trained by their up and down votes.
Instead of an infinite feed it is moving to a bounded daily edition: a handful of stories everyone should see, plus a short list picked for you.
A separate breaking-news surface runs on a cheap cascade where AI is the last step, not the first.
A Proxmox and Kubernetes cluster that is production for my house. DNS, media and home automation all run on it, for users who are not me and do notice outages.
It is managed as code with Terraform, Salt and Kubernetes manifests, and it hosts the server that lets my AI tools read and write my notes.
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