AI / ML Engineer
Building intelligent systems from models to applications.
Selected Work
Projects across language models, generative models, planning and computer vision.
GPT Story Generation
A GPT-style language model trained from scratch with a custom pipeline: GPT-2 BPE, SwiGLU, RMSNorm.
Flow Matching & MeanFlow
Comparing x-, ε- and v-prediction objectives, and one-step sampling behaviour in high dimensions.
Multi-Drone Motion Planning
Bidirectional RRT-Connect in a 3K-dimensional joint configuration space, evaluated across obstacle scenarios.
Self-Supervised Semantic Segmentation
CNN patch representations, spatial coordinates and K-means clustering — no labels, no pretrained weights.
About
I am a Computing master's student at the Australian National University, specialising in Artificial Intelligence and Machine Learning.
My background combines applied data analytics, statistics and machine learning. I enjoy working from raw data to models and building systems that turn research ideas into practical applications.
My current interests include large language models, generative models, AI agents and planning.
Experience
Built Python/SQL/Azure ETL workflows for research project data, reducing manual processing by approximately 75% and achieving 99%+ data accuracy.