Thirty years turning ambiguous problems into working software.

I started in design. An MFA in graphic design from the Rhode Island School of Design gave me a foundation in typography, visual systems, and the discipline of making information legible — the craft of understanding a material well enough to shape it, whether that material is ink on paper or code on a screen. A BA in biology from Colorado College came first, and the habit of systems thinking it built has never left.

For three decades I have built for the web across its whole evolution: designing interfaces, engineering full-stack applications, and architecting enterprise WordPress for organizations whose content needs had outgrown the defaults — multisite estates, custom plugins and blocks, headless front ends, and the migrations and governance that keep them maintainable.

That foundation now powers my work in AI. I design and build multi-agent systems and production LLM platforms where the priority is software people can understand and trust: cited sources instead of confident guesses, accessible interfaces, and honest handling of the model's limits. The same typographic discipline that produced my low-vision legibility research — now the Universal Web — shapes how I approach every interface.

I also work at the edges of software and the physical world: a drone-borne magnetometer survey platform combining flight-control hardware, sensor integration, GIS, and data interpretation. It is the clearest expression of how I like to work — across disciplines, from concept to field test.

I'm currently focused on AI product development, software architecture, and the kind of cross-disciplinary problems that need design judgment and engineering depth in the same person. I work with organizations as a senior contributor, contractor, and consultant.