A list of projects I’ve posted about (i.e. anything with the Project tag).
Embracing the exponentials and vibecoding an entire 3D game in a few days with Aider, o3-mini, and Claude 3.7 sonnet.
The development stories and roadmap for Orbital, my physics-based 3D simulator for realistic orbital maneuvers that runs in your browser with WebGL and Three.js.
How I learned Svelte and outsmarted Vercel to make a delightful frontend to OpenAI’s DALL-E … just for my mom.
Enter richify.py: a real-time Markdown rendering tool that supports streaming input. Built with Rich and shipped effortlessly with uv.
Links to the projects, games, blog posts, and tools I shipped in my 12 weeks at RC.
How I built a command-line LLM on Apple Silicon for RC’s ‘Impossible Stuff Day’
Can you outwit a gang of LLMs?
A dynamic realtime raytracer in pure JavaScript you can run in your browser.
A deep learning algorithm I developed for training diffusion models on tabular data under differential privacy guarantees.
An open source newsreader app I built using LLM embeddings to semantically prioritise arXiv and Github updates.
Winning EF’s Bio x AI hackathon with a multimodal LLM for lab protocol automation.
We used LLaVA and Claude to build a crazy multimodal LLM health assistant. OpenAI made it redundant the next week.
Making 95% annual return on the hardest data science tournament in the world, for fun and profit.
My MSc thesis and what it aims to do for biomedical science.
This project applied statistical learning techniques to an observational Quantified-Self (QS) study to build a descriptive model of sleep quality. A total of 472 days of my sleep data was collected with an Oura ring. This was combined with a variety of lifestyle, environmental, and psychological data, harvested from multiple sensors and manual logs.
How I almost outsmarted 3 pro forecasters using Bayes rule.
Trying to out-forecast Vox in 2020. What could go wrong?
A selection of my older projects (pre ~2019) transferred from an old website for posterity.