Human‑AI interaction designer.
I design the seam where people meet models: the trust, the handoff, the moment a machine stops feeling like a machine.
Born and raised in London & in Sweden, and obsessed with artificial intelligence since a kid. Long before it was a household word I was already watching the films, reading the books, chasing the news, listening to the podcasts. That quiet fixation became a purpose: not to be a designer who happens to use AI, but a designer built entirely for the intersection of human and AI.
MSc Human‑Computer Interaction · Uppsala University
Thesis: LLM design influence on decision-making in football scouting
Specialist · Apple, Stockholm
Translating complexity into trust
A VIA Character Strengths survey ranks the 24 strengths that shape how a person thinks and works. Mine lead with humor, fairness and social intelligence, followed by leadership and teamwork: strengths that sit squarely on the human side of human–AI design.
I chose this path deliberately. The BSc in Computer Science was about seeing behind the curtain: how computers and systems actually work. The MSc in HCI was the other half: how those systems can work seamlessly with the people using them. The goal was always to be a designer between people and AI.
- 2024–2026Uppsala University · MSc Human‑Computer Interaction
Thesis: How LLM design choices influence executive decision-making in a traditional football scouting environment for. Coursework spans interaction design, ethical design and social-science research methods.
Read about the thesis →Expected Nov 2026 
2020–2023Leeds Beckett University · BSc Computer ScienceDissertation on a cloud-native intrusion detection system built on AWS, an early study in systems that learn to notice.
Graduated 2023
Business Operations Associate simulation: applied the Ask–Context–Examples– Desired Output framework to NPS survey feedback, improving prompt clarity by over 50%, and built repeatable ChatGPT and Copilot workflows with guardrails.
Associate simulation: researched how food-and-beverage apps drive engagement, analysed customer pain points for CoffeeCo and turned prioritised features into an agile project plan.
Core tenets for the seam where people meet intelligent systems.
These three grew out of the route here. A computer science bachelor's first, to see how systems work behind the curtain. Then human–computer interaction, to understand how those systems meet people. And finally a master's where I analyzed the effects of LLM design implementation on trust, explainability and decision making.
- 01Agency over automation
AI should augment human judgment, not quietly replace it. The user must always remain the author and final decision-maker.
- 02Calibrated trust
Blind trust leads to failure, while deep cynicism stops adoption. Thoughtful interface cues should accurately communicate confidence, limits, and source origin.
- 03Clarity at the point of action
A model’s output is only as good as the interface that delivers it. Insights must arrive in context, stripped of unnecessary noise, and ready for decision-making.