algorithmix.
Machine learning, made tangible: live figures, line-by-line pseudocode, complexity, and buttons that break things on purpose.
go on, add a neuron
entry no. 001: all about me
Computer science grad building things that explain themselves: machine learning models you can interact with, black holes you can spectate, and quantum algorithms that mostly behave.
Six things I've built, shipped or proven, from black holes to bedside companions. filter away ↓
Machine learning, made tangible: live figures, line-by-line pseudocode, complexity, and buttons that break things on purpose.
go on, add a neuron
A real-time, physically accurate black hole raymarcher. Light follows Schwarzschild and Kerr geodesics, right in your browser.
light bends. so did my GPU.
A space-themed web app for astronomy lovers: interactive planets, real-time sky maps and satellite tracking.
for fellow stargazers
Semantic flashcards for neurodivergent learners, generated from a single prompt.
learning optimised
Eight novel algorithms for the Travelling Salesman Problem, blending QAOA with classical optimisers.
78%dissertation grade
paper forthcoming!
An AI health companion for older adults, on the Android phone already in their pocket.
small screen, big kindness
also in the archive
Essays on philosophy, AI and the occasional existential crisis. More on Substack.
I started university at sixteen on a scholarship to Birmingham, published my first paper the same year, and wrote my dissertation on hybrid quantum–classical optimisation. I've since done an MSc in Advanced Computing (AI) at Durham, and from November I'm a software engineer.
The common thread: I like making hard ideas feel touchable.
specimen label
Collaborations, questions, or just to say hi. I read everything.