Applied machine learning, data systems, and full-stack software across modeling, analytics, and product development.
Modern group expense tracking app for trips, roommates, events, and shared spending. Built with React Native and Expo, backed by Supabase for auth, realtime data, and receipt OCR, with intelligent settlement flows and a deployed web experience.
Led development of a full-stack multiplayer Gin Rummy game using a dozenal (base-12) scoring system. Built Spring Boot and PostgreSQL backend with WebSocket synchronization, and a Next.js frontend with Redux, shadcn/ui, and real-time gameplay, leaderboard, and admin tooling.
Predicted Canada's unemployment rates using linear regression and LSTM models, with data preprocessing, model training, and evaluation to compare classical and deep learning forecasting approaches.
Built a nutrition-focused application backend with Django and IBM Cloud, fine-tuning an LLM with Retrieval-Augmented Generation for context-aware querying across nutrition knowledge bases. Delivered REST APIs, NLP-driven summarization, and structured data pipelines to improve response accuracy and user engagement.