My award-nominated dissertation project, this Next.js React app combined artificial intelligence, databases and authentication to address inaccessible insulin pump design. The project research, which was some of the first of its kind, identified that limited user involvement in the design process, complex system design and inconsistent education result in barriers that can make effective pump treatment more difficult.

As lead front-end developer, I built a real-time monitoring interface for an additive manufacturing system using Vue.js, Vite and AI-powered anomaly detection. The platform visualised live sensor data via Plotly with Socket.IO and MQTT integration, while drawing on time-series data from TimescaleDB.

This website, which is my personal portfolio (noah.uk), is built using TypeScript, Tailwind 4 and Next.js App Router. While I’ve used some Shad.cn components for an accessible foundation, all branding and site components are custom-designed and developed by me. Content is delivered via Microsoft Azure Cloud hosting.

A research platform built for my uni professor, this Next.js with Typescript application uses Strapi CMS for content publishing and hosting. I created the vibrant branding and UX through collaboration in Figma before developing the front-end, integrated content APIs and custom unit tests with Jest.