AI Experience Technologist
UX research and design, extended into the AI layer. From the first research question to the guardrails that protect the person at the end of the system.
Designing systems that admit what they don't know.
Read →Work that starts with people and follows the problem wherever it goes — including places most designers don't.
Designing a conversational AI triage and quality framework for an online technology provider — from quantitative log analysis through to the behavioural specification used as the engineering build brief.
View Case Study →
A comprehensive thesis project developing an AI-augmented mobile app with smart sensor integration to help home gardeners achieve consistent yields through data-driven insights.
View Case Study →Most AI products are designed to project confidence. But confidence without calibration is a UX failure — and eventually a trust failure. Designing for uncertainty isn't a safety nicety, it's what makes AI worth depending on.
Read →There's a gap between the interface you designed and the interface your users experience. Understanding foveal vision, change blindness, and inattentional blindness changes how you think about hierarchy and placement.
Read →The gap between AI technology and human needs is messy.
I am an Experience Technologist shaping how people interact with large language models. My background in UX design (MA, Distinction) drives me to create AI experiences that reduce cognitive load rather than add to it.
While the technical work matters—building RAG pipelines and context systems—I am most driven by the challenges of responsibility:
Adversarial Testing: Finding where AI breaks to ensure robustness.
Guardrails: Designing for safety, ethics, and "humble" AI that admits when it doesn't know an answer.
Education: Empowering others to navigate this fast-moving field.
I focus on systems that are not just powerful, but actually useful.
A UX practice grounded in research, extended into AI — prompt engineering, context architecture, and guardrail design that closes the gap between what a model can do and what a person can depend on.
Get in Touch →Always interested in the problems at the edge of design and AI. If you're working on one — reach out.
