Economics & Data Science student at the University of Sydney.

I build projects across data science, applied machine learning, AI software, and product engineering.

Applied AI and local-first software for organising university material and working with source-grounded study context.

• Local course-material workspace with search, previews, notes, and study workflows
• Source-grounded AI answers with citation-focused context
• Privacy-focused localhost architecture
• Persistent conversations and course/week-based organisation
• Regression, privacy, security, and first-run testing

Focus: applied AI · software engineering · local-first product development
Built with: Python · JavaScript · HTML/CSS · SQLite · OpenAI API · KaTeX · GitHub Actions

Reproducible machine learning solution for the 2026 Inter-Uni Datathon Stream 1 challenge.

• Feature engineering and validation-focused modelling workflow
• CatBoost and XGBoost experiments
• Repeated cross-validation and holdout evaluation
• Reproducible final pipeline and submission package

Focus: data science · applied machine learning · reproducibility · model validation
Built with: Python · pandas · scikit-learn · CatBoost · XGBoost

Frontend developer · private team project

Frontend/product engineering for a UAV photogrammetry-based platform that measures stockpile volume from drone survey data.

• Built the frontend architecture and page structure
• Implemented authentication, registration, protected routes, and post-login navigation
• Developed project, dashboard, settings, and device-management interfaces
• Integrated frontend flows with backend APIs and owner-scoped project/user data
• Designed loading, empty, error, and failure-feedback states
• Refined responsive behaviour, visual polish, and workflow usability

Focus: frontend engineering · product engineering · backend API integration
Built with: React · TypeScript · TanStack Start · Tailwind CSS · Git

I am developing a portfolio that connects:

Economics + Data Science
         +
reproducible analysis and machine learning
         +
applied AI software
         +
frontend / product engineering

Languages: Python · JavaScript / TypeScript · SQL
Data / ML: pandas · scikit-learn · CatBoost · XGBoost · cross-validation · feature engineering
Web / Product: React · HTML · CSS · Tailwind CSS · TanStack Start
Tools: Git · GitHub · GitHub Actions · SQLite

Data Science · Economics · Applied AI · Machine Learning · Local-first software · Product engineering

I am early in my degree, so I use GitHub to show the progression from fundamentals toward more complete, evidence-backed projects.