Trace the whole system
I follow a request from the user experience through code, data, containers, operating systems, networks, and the result someone actually needs.
I’m a systems-minded builder who likes getting close enough to a problem to see how the pieces fit. I move comfortably between requirements, code, documentation, infrastructure, and the people who have to use the result.
My work spans software, infrastructure, security, and operations. I enjoy following a request all the way through the system—from the first question to the practical outcome.
My MBA helps me connect technical decisions to cost, controls, customer outcomes, and adoption. It gives me a useful business vocabulary without losing sight of the work itself.
I build focused tools for AI-assisted workflows, with outcomes that can be reproduced, inspected, and improved.
That thread runs through the projects below: agent and plugin tooling, Linux and DevOps practice, data and civic visualization, automation, and the web. I like work that makes a boundary clearer or a useful capability easier to pick up and use.
I follow a request from the user experience through code, data, containers, operating systems, networks, and the result someone actually needs.
I prefer clear requirements, documented trade-offs, repeatable workflows, and small tools that another person can inspect and pick up.
I stay curious without losing my footing. The technical answer still has to fit the mission and the people who will live with it.
I choose tools for the problem at hand, pay attention to how they interact, and look after the systems I depend on.
Eastside Big Tom Restaurant
Mayflower Park Hotel / WPA LLC
The Rainier Club
Pacific NW Legal Supply Inc.
McCormick & Schmick’s Catering / Landry’s
POS/payment systems, wireless, surveillance, virtualization, iSCSI storage, remote support, PCI/DSS controls, and practical extension of legacy environments.
Bash, Python, Node.js, Next.js, REST APIs, data parsing, OCI containers, Nginx, Google Civic API integrations, and operational workflow tools.
Current self-directed practice includes Git BBQ, Codex task tooling, MCP servers, plugins, agent workflows, local inference, observability, and context systems. This is developing practice, not prior production AI employment.
My work connects implementation to cost, controls, training, handoff, client requirements, and the practical conditions that make a system useful after launch.
My education combines business fluency with hands-on software, data, systems, and operational practice.
Mills College, Lorry I. Lokey Graduate School of Business
Backend, SQL and DevOps with Python · Nucamp Coding Bootcamp
Web + Mobile Development · Nucamp Coding Bootcamp
GAAP-focused Accounting Bootcamp at Golden Gate University, plus SQL, data architecture, Excel/SQL data mining, and SAS statistical analysis at UC Berkeley Extension.
The Evergreen State College, with an audio engineering and electronic music composition focus.
I’m interested in helping AI software teams ship useful tools, supporting the infrastructure around them, and translating business requirements into software people can work with. Good documentation, clear boundaries, and thoughtful automation should make the next step easier—not make the system feel mysterious.
Have a look at the projects, read the field notes, or see how I think about the work.