Selected work
A selection of full-stack, AI, ML, and data projects. Each began with a practical problem and ended with something testable, useful, and ready to improve.
Applied AI at QuantAI
Data Science internship in Auckland, NZ. Built RAG pipelines, a YOLOv8-based video analytics system, and a sales analytics dashboard for a live client engagement.
CivicSpot
A civic issue-reporting platform that lets citizens report and track city problems with AI-verified photo evidence, an interactive map, and an admin dashboard.
Querify
An AI-powered BI platform that turns CSV/XLSX uploads into dashboards, forecasts, and natural-language queries. No SQL required.
Local Llama 3 8B Q&A System
Offline RAG-powered Q&A and summarisation built with a quantized Llama 3 8B model, FAISS vector retrieval, and local inference - evaluated with structured answer validation and a 25+ test pipeline suite.
Sentiment Spark
An AI sentiment-analysis tool for pasted text or any web-page URL, scraping YouTube, Reddit, blogs, and news via Firecrawl.
Video Detection
A full-stack video analytics app that detects objects in uploaded videos and infers the activity taking place, tuned through frame sampling and confidence thresholding.