Engineer with a background in ML research and a bias toward shipping. I've gone from training GANs and segmenting brain lesions to building agentic AI systems and full-stack products for enterprise clients. Based in Melbourne. Open to start up and remote opportunities.
BCG X
Building agentic workflows and production-grade AI systems for enterprise clients. Shipped an agentic codebase-analysis tool for cross-repository quality assessment, a conversational workflow engine integrated with systems of record, and end-to-end features across React frontends, REST APIs, and SQL databases for scheduling and supply-chain platforms.
Aurecon
Designed and built RAG pipelines connecting Azure OpenAI, vector databases, and embedding models for domain-specific search and Q&A. Implemented LLM-driven agents for workflow orchestration and engineered advanced prompting strategies that improved model accuracy on complex tasks.
Australian Institute for Machine Learning
Built a generative AI system to produce beer recipes matching client flavour specs. Trained GANs for synthetic dataset generation preserving real-world statistical distributions, expanding limited training data.
Consunet
Gathered requirements directly with a confidential client. Researched and prototyped Python solutions spanning graph and network analysis, visualisation, and planning.
The University of Adelaide — Dean's Recognition of Academic Excellence - GPA 6.93/7
The University of Western Australia — CEED Scholar - GPA 6.56/7