Designing at the intersection of people and technology.
I'm a Digital Media Design graduate based in London exploring how we design technology in ways that respect people. I work across user research, AI evaluation, and product thinking.
About
I’m a Digital Media Design graduate with a strong focus on Human–Computer Interaction and user-centred design. My background trained me to think critically about how people actually use technology; what they expect, where they get stuck, and how systems can earn (or lose) their trust. Whether I’m designing interfaces, evaluating AI behaviour, or improving workflows, I always start with the same questions: Who is this for, and what problem are we solving for them?
Over the past year, I’ve worked as an AI Evaluation & Quality Contributor, analysing AI outputs at scale. I’ve assessed clarity, reasoning quality, factual grounding, safety, and alignment with real user intent. I’ve designed edge-case prompts to expose model weaknesses, compared system behaviours, and built a strong instinct for what makes AI interactions feel reliable, helpful, and human-centred. It’s part research, part critical thinking, and part product sense — all skills I love using.
My final-year thesis explored trust and privacy in AI-enabled mobile devices, leading to a speculative concept called Silencio1 — a wearable that enables private AI interaction in public spaces. This project involved surveys, interviews, and deep qualitative research. It taught me not just how to gather insights, but how to interpret them and turn them into meaningful design decisions.
Across everything I do, I’m drawn to roles where people, product thinking, and AI meet — whether that’s in UX, AI evaluation, or emerging tech. I’m motivated by understanding how users think and building systems that work with them, not against them.
What I enjoy working on
Projects
Evaluating AI systems for clarity, trust & usefulness
Freelance AI Evaluation & Quality Contributor assessing model outputs at scale. I reviewed responses for accuracy, clarity, compliance, reasoning quality, and alignment with real user intent—then used those insights to improve prompts, guidelines, and system behaviour.
- Interpreting ambiguous instructions and user context
- Distinguishing between superficially good and genuinely robust reasoning
- Understanding trust, safety, and UX expectations in AI interactions
Silencio1 – Speculative AI wearable for private voice interaction
Research-led final year thesis exploring how people might interact with AI in public without sacrificing privacy or increasing screen time. I combined surveys, interviews, and forum analysis to understand attitudes towards voice assistants, privacy, and digital wellbeing.
- Qualitative research synthesis and thematic analysis
- Persona creation, journey mapping, and scenario ideation
- Speculative design framing and early concept / prototype development
Automating client booking workflows with n8n
Designed an automation concept that connects form submissions (Google Forms / Typeform) directly to calendar events (Google Calendar). The workflow structures form data, creates events with rich descriptions, and sends confirmation emails—removing manual data entry and reducing context loss.
- Mapping manual processes into reliable automated workflows
- Defining triggers, actions, and data transformation logic
- Thinking through edge cases, error handling, and user feedback loops