About
I'm an AI engineer in Melbourne. I build large language model and agentic systems that run in production: document intelligence pipelines over millions of records, retrieval and multi-agent workflows, and the evaluation and guardrails that make their output trustworthy enough to act on. My PhD is in artificial intelligence, where I worked on neuro-symbolic architectures for natural language comprehension, and I still teach postgraduate AI.
Download CV (PDF)Full employment history, publications and referees are in the PDF.
Focus
- End-to-end LLM delivery: prototype, evaluate, then deploy and operate on cloud infrastructure with CI/CD.
- Document and multimodal AI at scale: 1B+ tokens processed across contracts, notes and unstructured records.
- Agentic and multi-agent design: RAG, tool calling, structured outputs, MCP, and human-in-the-loop approval gates.
- Reliability engineering for LLMs: LLM-as-a-judge, fuzzy scoring, guardrails and automated validation.
- Cost and throughput tuning: concurrency, batching and rate-limit strategies that keep inference spend predictable.
- PhD in AI with 16 publications, 320+ citations and two best-paper awards; postgraduate lecturer in AI and analytics.
Skills
Programming
Machine learning & DL
LLM frameworks & tooling
AI strategies & patterns
Agents & flows
Document & multimodal AI
LLM evaluation & reliability
Cloud platforms
Data viz & BI
Statistical modelling
Experience
AI Automation Engineer
HESTA
Production LLM solutions for document intelligence and business process automation, on AWS with Bedrock, Lambda, Step Functions and batch pipelines.
Data & AI Specialist
Telstra
AI frameworks for operational problems: prompt engineering, RAG, agentic automation and automated evaluation of LLM applications.
Data Scientist
Centre for Data Analytics and Cognition, La Trobe University
Deep learning, NLP and ML solutions for real business problems, taken through to production, with consultancy to technical and business stakeholders.
Lecturer (part-time)
La Trobe University
Designed and delivered AI micro-credentials for industry professionals, and teaches AI, NLP and hyperautomation in a Master of Business Analytics.
Lecturer (full-time)
Department of Computer Science & Engineering, University of Moratuwa
Lectured modular software development and supervised final-year research projects, alongside published research.
Research Assistant
Live Labs, Singapore Management University
Sidewalk accessibility from crowd-sourced imagery: image segmentation, Bayesian methods and association rule mining.
Education
Ph.D. in Natural Language Processing and Data AI
La Trobe University
Neuro-symbolic architectures for natural language comprehension, applied across energy, healthcare and finance. Publications in Q1 journals and two best-paper awards.
B.Sc. (Hons) Computer Science and Engineering
University of Moratuwa
First Class Honours, 4th highest GPA in the department, top 2.1% of a 914-student cohort, Dean's list every semester.
Certifications
Contact
Open to AI and machine learning engineering roles, and happy to talk through any of the work here in more detail. Find me on LinkedIn, GitHub, or Scholar.