I am years old and studied Computing and Management at Loughborough University. Outside of programming most of my time is spent either watching or playing sports.

During my final year of school I was still undecided about my future and hadn't applied to university. I was unsure about what I wanted to do next and what would be right for me, so once I finished school I decided to go travelling.

My brother was also in a similar situation as he had just graduated from university. So with minimal plans we headed off to Dubai, New Zealand and Australia for 3 months from November 2018 - February 2019.

The trip gave me the time I needed and whilst surrounded by beautiful views and the cleanest air in the world in New Zealand I came to the conclusion that I wanted to pursue a career in computer science. I wrote my personal statement and completed my uni application while in a hostel on an island just off Auckland.

Stride is an autoregulated hypertrophy training app, built in the style of a Renaissance Periodization tracker. You build an exercise library, plan a mesocycle, log every set in the gym, and rate your recovery after each session. The app then generates next week's prescription automatically. Volume climbs from MEV toward MRV when you're recovering well and backs off when you're not, target RIR ramps down across the block, load follows double progression, and the final week is a deload. It's multi-user with Google sign-in, and the progression logic lives in its own unit-tested engine, separate from the UI.

A sweepstake app for the 2026 World Cup. Friends sign in with Google, join a league from a single invite link, and the 48 teams are dealt out at random, using either a "lucky dip" shuffle or seeded pots for a fairer spread of favourites. As the tournament progresses an admin updates each team's stage and every league's table updates live, with points for how far your teams go plus live match bonuses like group wins and giant-killings. For the draw, your teams arrive as face-down cards that flip over one by one, then live on as stickers with a gold-foil edge until they're knocked out.

Find the quietest days to visit any theme park. Search from hundreds of parks worldwide, set a date range and filters, and get a ranked list of the least crowded days to visit. You can use a custom window or a rolling "days ahead" slider, exclude days of the week you can't travel, and cap results above a crowd-percentage threshold. Each open day shows a visual crowd bar, a status label, and opening hours. Crowd data is scraped server-side via Next.js API routes, so there's no separate backend.

A Retrieval-Augmented Generation app that runs entirely on your own machine with no API costs. You load a document, with support for multiple file types as well as content pulled straight from an online link, and it splits the text into chunks, embeds them into a local ChromaDB vector database, and answers your questions using only that document's content via a local LLM through Ollama. It has a UI for loading documents and chatting, with source citations for every answer, plus configurable models and chunking depending on your hardware.

Ranker lets you create and share ranked lists of your favourite roller coasters, movies and TV shows. You build a list with drag-and-drop reordering and share it with others via a unique URL. It uses Google OAuth for sign-in and a responsive design that works across devices.

Connect your Spotify account and create a collaborative listening session where you and your friends can add songs to the queue remotely, so everyone contributes to what plays next from their own device.

This was my final year project for university. I created a stock portfolio tracking web app using React for the frontend and Express for the backend. It used live market data to display the user's portfolio and statistics/analytics about their portfolio's performance.

All the projects below are rather outdated and not reflective of my current work but this website is relatively unchanged from when I first made it so I thought I would just leave them in.

The program utilises a grid to function as a personalisable calendar with features related to health/fitness such as a BMI calculator, a calorie tracker and a calories burned calculator. It also featured a backend database to store the user's personal information and unique log in details. The weather window functioned as a browser within the program to access local weather news.

This was my first ever personal programming project as it was my coursework for A Level Computer Science, the overall grade for the program and it's documentation was an A*.