A Collection of Past Work
Keia
Micro-dosing is held back by stigma, unclear regulation, and a lack of structure. People don't know how to approach it, and the experience often feels misunderstood or misguided.
During my 10-month design internship at LAYER, we rethought the micro-dosing experience. We developed packaging made from mycelium, tea and coffee waste, wheatstraw, and agar and a subscription model that made micro-dosing feel less like a fringe habit and more like part of a wellness routine.
By framing the micro-dosing experience around wellness, the concept explored how design can help legitimise emerging markets. The project pushed me to consider designing for a space with no real playbook, just a lot of unknowns and assumptions to challenge.
This project was completed during my time at LAYER. Images include both my own work and shared team deliverables.
Debot
Depop prioritises newly listed items, meaning sellers are stuck in a cycle of constant re-listing. It's a system that rewards time spent, not necessarily the quality of what is being sold.
I collaborated with a developer to build Debot, starting with a simple MVP that automates relisting, customer messaging and smart following, helping Depop sellers convert traction into more sales without manual effort. Debot grew organically by cutting friction, not by trying to be clever.
Over 2,000 users adopted Debot 90 days after MVP stage, gaining visibility and sales through around-the-clock automation.
Then Depop removed core features which Debot relied on, almost overnight. It was a sharp reminder of the risks of platform dependency, and the importance of building with flexibility from the start.
Earth Rated
Earth Rated was adding more SKUs (Stock Keeping Units) and I was tasked with extending the system to cover them. The main challenge was keeping everything consistent and legible, especially on small-format packaging and with bilingual labels to account for.
As an intern with the LAYER team, I helped develop three visual strategies for Earth Rated: colour-based differentiation, icon variations, and a combined system. We tested these directions through ongoing client reviews, refining as we went. My role also included prepping print-ready files with Pantone specs and working within the tight constraints of bilingual packaging, all while keeping things visually consistent with the brand's clean look.
The icon and labelling system rolled out smoothly across the growing product line, keeping things visually cohesive even on smaller formats and bilingual packaging.
Now these SKUs are sold internationally.
This project was completed during my time at LAYER. Images include both my own work and shared team deliverables.
Smart Care Management and Tracking System
Care facilities often miss early signs of health decline, not because staff aren't attentive, but because it's impossible to monitor every resident around the clock. Subtle changes in sleep, movement, or daily routines can go unnoticed, even when they are early indicators of issues like UTIs, dementia, or other conditions that get harder to treat over time.
I collaborated on the UX and industrial design, as well as the development of core tracking technologies, for a council-funded project exploring how location data could support aged care. Using XYZ-coordinate data, I implemented a system that achieved 15m tracking accuracy through triangulation combined with signal strength analysis. The system could identify patterns in resident movement and behaviour. Much of the work focused on R&D in dead-reckoning and Bluetooth direction finding (AoA). My contribution centred on making the technology both effective and easy to integrate into everyday care without adding friction for staff or residents.
While the project was focused on behaviour analysis in aged care, the system's accuracy surfaced an unexpected use case in emergency response. It drew interest from private fire services, but the cost trade-off made it unfeasible for council products. Still, the exploration helped the council rule out a direction early and move forward with greater clarity.
An intelligent EV charging app that eliminates range anxiety by automatically identifying optimal charging stations using real-time vehicle and battery data.
Understanding how £100,000+ beds are sold online through photorealistic 3D configuration and material visualisation.