Hello! I’m a Year 13 student taking Computer Science (self-taught), Maths, Further Maths, Physics and Economics at A-Level. I'm planning on studying Computer Science at university for a future in software engineering and entrepreneurship.
Within Computer Science (CS), I’m particularly interested in technologies such as cloud computing and AI research. I’m actively seeking work experience in any CS-related area to learn more about various aspects of the field. My projects span web development, agentic AI, cloud solutions, financial applications and mathematical modelling.
Designed and created a model for the ideal game controller for a Nintendo Switch.
Completed Harvard University's Introduction to Computer Science at only 13 — first real exposure to algorithmic thinking, primarily using C++.
Programmed a scientific calculator website using JavaScript, HTML and CSS.
Created a Django-based edtech platform — combining student surveys and web development to create the ultimate revision resource.
Created an exporter handling pull request metrics in Python for the Scientific Computing department.
Developed the circuitry and embedded control system software for a model missile using a Raspberry Pi.
Built a Gemini-powered decision-matrix agent for sustainable cloud deployment — formally published on Zenodo.
Selected as a finalist (top ~10%) for Leaf's Dilemmas and Dangers in AI course — five weeks ranging from neural networks and mechanistic interpretability to AI misalignment issues such as specification gaming.
As a programmer in C++, our team reached Nationals through our use of creative programming, including a tank-drive steering system and match-versatility features.
Flown to Jane Street's headquarters in New York for placing 2nd of 980 teams worldwide in the Technical Computing Award.
Global advisory council, where our AI, Cognition and Human Thinking Lab's provocation asks, “Whose mind is at the table when AI joins the meeting?”.
Experimenting with partially automated workflows and further discovering the wonders of UI/UX.
Improving RAG retrieval strategies and fine-tuning multi-model VLM systems.
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An AI agent for startups who can't afford a cloud consultant. A robot that has to make decisions in real time. A revision platform for students who can't find their notes. Each taught me something different about robust code.
A Gemini-powered decision-matrix tool that gives startups a sustainability-first cloud deployment plan in seconds. Tested against Airbnb, Spotify and Duolingo's real growth paths.
Autonomous and driver-control code for a competition robot, written in C++ and Python. Qualified for UK Nationals 2026 on our first attempt.
A full-stack Django revision platform with a shared notes library, flashcards with red/amber/green (RAG) confidence ratings, and PDF.js-powered document previews.