Seven years shipping production mobile apps. Now building products that think, with ML, LLMs, and the instinct to ship that only comes from doing it for real._
Multi-agent LLM web app that helps newcomers find the right Sydney suburb. Combines Reddit sentiment, crime data, transport scores, and OpenStreetMap into a conversational assistant. Won the Best AI LLM Project Award at UTS 2026.
Interactive data narrative examining the growing tension between housing affordability and public transport access across Australia's 8 capital cities from 2020 to 2025. Built for policy makers using real ABS and BITRE data.
Text analysis and data storytelling project applying topic modelling and sentiment analysis to 295 public submissions to the 2025 Australian federal election inquiry. Graded H with 90/100.
PyTorch image captioning system trained on the VizWiz dataset (7,750 images from people who are blind). Two architectures designed and compared: MobileNetV3 + LSTM baseline and GoogLeNet + LSTM with Luong attention.
Comparative study of CNN transfer learning strategies on 101-class food image classification. Covered frozen backbone training and progressive layer-by-layer fine-tuning across GoogLeNet, MobileNetV3, and ResNet50.
Implemented forward and backpropagation using only NumPy, then trained a custom neural network on the Japanese MNIST dataset (70k Hiragana images, 10 classes) achieving over 91% accuracy with PyTorch.
End-to-end ML data product predicting next-day high prices for Bitcoin, Ethereum, XRP, and Solana. Individually responsible for the Ethereum LSTM model and the CoinGecko data pipeline. Served via FastAPI and visualised in Streamlit.
Machine learning service predicting rain in 7 days (binary classification) and cumulative precipitation in 3 days (regression) for Sydney, using Open-Meteo historical data. Deployed as a containerised REST API on Render with Docker.
Interactive geospatial platform developed for the Ministry of Agriculture of Honduras, giving users access to maps and data about agri-food sector production across the country. Built end-to-end from backend to frontend.
Led the complete rebuild of the Ryte iOS application in Swift 5, achieving a 90% reduction in client-reported bugs and a 40% improvement in performance. Included a full UX redesign and integration of real-time features.
iOS application built from scratch in Swift 5, from mockup design in Sketch to App Store release. Used by 20+ enterprise clients to train employees in safety and security practices.
Open source Swift UI framework published on CocoaPods, providing a customisable alternative to UIAlertController for displaying messages and custom alerts in iOS applications.
Open to AI engineering and full-stack roles where production instincts matter. Remote, hybrid, or Sydney in person.
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