About
I enjoy taking ambiguous data problems and turning them into simple, robust products. Recently that’s meant building face-embedding systems with metric learning, tightening anti-spoofing, and shipping small, useful apps that help people get answers quickly.
I’m in my final year of a BCompSci (AI) at Swinburne. Outside uni, I manage weekends at a camping retailer — great training for calm problem-solving and clear comms.
- • Face verification & anti-spoofing experiments
- • Anomaly detection for access logs
- • Testy: teacher tools for MCQ generation
Selected Work
- Project 01
Face Verification — Metric vs Supervised Learning
Compared metric learning and supervised classification pipelines for facial verification; deployed embedding-based model with real-time webcam inference.
- Project 02
Animal and Plant Classifier
Transfer-learning pipelines (VGG16, EfficientNetB0/V2S/V2L) for 10-class animal/plant recognition in TensorFlow.
- Project 03
Golf Game — Functional Golf (Ruby + Gosu)
Tile-based golf with deterministic physics, sounds, and level loader.