I work on AI products, workflow systems, and prototypes that need product judgment, technical shape, and a working loop.
At Scope & Shape, I lead discovery and product framing, shape the initial scope, and stay involved with the client through delivery.
We work with product teams that have an AI feature on the roadmap and the technical path still open. The team builds and tests the smallest useful component. Past work includes applied ML, customer automation, internal platforms, and data systems.
I look at how client work moves through people, tools, files, and shared context. Then I work out what should stay, what should change, and whether anything needs to be built.
A brand and web design studio moved from browser chats to a file-based system that carries client context across the project.
I worked on AI-powered image search and helped turn internal ML models into B2B APIs. That meant connecting model behavior to what users needed and what the product team could ship.
Natural language to editable, 3D-printable objects. The main product problem is making uncertain model output reviewable and usable.
A publishing system that turns patent records into applied AI use-case pages through structured generation, quality gates, and static output.
A browser extension that translates selected text with surrounding page context and a bring-your-own-key privacy model.
The vendor layer connects generated use-case pages to companies that might build or sell similar systems, while keeping the evidence boundary visible.
The visible page was only the output. The work was moving patent records through filtering, generation, evaluation, and static publishing without losing the source.