About
A software engineer building and studying AI systems.
This site is a place to organize what I am learning from agent systems, enterprise AI adoption, harness engineering, and the work of making foundation models reliable in real organizations.
Background
My path started with digital design and frontend engineering, close to the user experience and the details of how products actually feel. Over time, the work expanded into platform engineering, technical leadership, and systems that help other teams build with better defaults.
Visual systems, interface clarity, and attention to how people use software.
Product surfaces, production workflows, and translating ambiguity into usable software.
Shared capabilities, developer enablement, standards, and leverage across teams.
Staff-level influence, platform strategy, cross-functional execution, and organizational change.
Career Evolution
Each chapter changed what kind of leverage I was learning to build.
Today
Today I am focused on enterprise AI, agent systems, AI adoption, and harness engineering. I am especially interested in the systems around models: context, tools, permissions, observability, approval flows, and the engineering leadership required to make AI useful in real organizations.
Why I Write
Writing is how I clarify what I am learning while building. The notes here are not meant to present final expertise. They are a record of research, implementation, architecture review, experimentation, and practical judgment as the work evolves.