I'm a recent Software Engineering graduate (2:1) with a passion for building clean, meaningful, and creative software.
I love working at the intersection of AI, music, art, and engineering — and I’m most proud of completing a dissertation project that generates abstract images from musical features using Python and computational creativity techniques.
- Python
- JavaScript / TypeScript
- SQL
- HTML/CSS
- SNS
- React / Next.js
- Prisma
- Supabase
- Node.js
- Docker
- Git & GitHub
- NumPy / Pandas
- Librosa
- Matplotlib
- Jupyter Notebook
- Basic ML (classification, feature extraction)
A rule-based Python system that transforms MIDI musical features into abstract images using:
- HLS color mapping
- Emotional color palettes
- Feature extraction (melody, harmony, dynamics)
- Visual composition rules
A collection of clean, modern, employer-ready web applications showcasing:
- Authentication
- Database modeling
- API routes
- Responsive UIs
Projects include dashboards, booking systems, and interactive tools.
Mini-projects demonstrating:
- Optimization (e.g., Multi-Knapsack problem)
- Data visualization
- Clean Python structures
- Readable documentation