Computer Science student at University of Nottingham. Former Amazon SDE intern. Builder of apps used by 20,000+ users. Passionate about scalable systems and creative software.
Developed Project Moneypenny — an internal tool that raises AI-generated code review revisions by automatically implementing engineer suggestions.
Built Python applications for multiple domains: fantasy sports leagues (NFL, MLB, NBA), stock market education, data analysis, and web automation.
A Discord economies-of-scale game where players benefit from increased collaboration. Real-time async state management at scale.
An interactive sports data dashboard combining three APIs, complex regressions, NLP, and Matplotlib visualizations for score predictions and player analysis.
A suite of fantasy sports apps spanning NFL, MLB, and NBA. Includes custom verification, user access controls, and data gathering pipelines.
Internal Amazon tool that automates code review revision workflows using AI — applying engineer-suggested changes and publishing results automatically.
Open to internships, grad roles & interesting projects.