Projects

I designed and built front-end experiences that enabled AI agents to retrieve and act on organizational knowledge using retrieval-augmented generation (RAG) and dynamic context.

Much of this work focused on creating intuitive configuration interfaces that helped users manage knowledge sources and understand how AI systems behaved. In partnership with design and accessibility teams, I helped ship trustworthy workflows that met WCAG accessibility standards by launch.

I contributed to the UI that surfaced core LLM capabilities within Watsonx Assistant, including conversational search, general-purpose answering, and customizable prompt instructions.

This work focused on designing clear interaction patterns for generative AI features, emphasizing transparency, user control, and safe interaction between users and AI systems.

I built front-end experiences that enabled users to integrate external systems into Watsonx Assistant through custom REST APIs.

The work centered on simplifying complex configuration workflows and helping users validate third-party services through structured API schemas.

I helped redesign the assistant integration creation flow, improving how users configured and managed integrations across the product.

As part of this work, I refactored a 500+ file front-end codebase into more maintainable patterns and embedded accessibility best practices directly into the new information architecture and UI patterns.

Case study highlighting front-end and UX work completed during my Studio Technology internship at Disney.

In this role, I partnered with engineers and designers to support internal tools used across the studio. My work focused on improving developer workflows, building reliable UI, and contributing to systems that enabled authentication, authorization, and routing across future applications.