About
Innovative Senior AI Research Scientist with over a decade of expertise, driving frontier AI development across regulated and mission-critical domains. Proven leader in delivering enterprise-scale language model solutions that enhance decision speed, reduce latency, and elevate system trustworthiness. Specializes in LLM fine-tuning, MLOps, and AI safety, with a focus on scalable and responsible AI that generates real-world value.
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Work
Hyperpriors
Director
NEOS Life Insurance Group
Head of Artificial Intelligence
Source Localisation
Chief Technical Officer
University of Sydney
Postdoctoral Research Fellow
Murdoch University
Postdoctoral Research Fellow
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Education
Cognitive Neuroscience, Developmental Psychology & AI
University of Western Australia
Psychology (Double Major)
University of Western Australia
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Certificates
Prompt Engineering Specialisation
Vanderbilt University
Advanced Prompt Engineering
Vanderbilt University
AI Fundamentals & Ethics
DAIR.AI
Data Governance with Databricks
Datacamp
Financial Markets (Honors)
Yale University
Quantitative Modeling
Yale University
University of Pennsylvania
University of Pennsylvania
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Skills
AI & ML
GenAI, LLMs, NLP Safety, Prompt Engineering, RLHF, Red Teaming, Trustworthy AI
Tech Stack
PyTorch, TensorFlow, HuggingFace, SpaCy, Databricks, Snowflake
Cloud & DevOps
AWS, Azure, GCP, MLOps, Microservices, CI/CD
Data
ETL, EDA, Bayesian Modeling, Data Governance, Scalable Pipelines
Leadership
Stakeholder Management, Technical Strategy, Team Leadership, Workshop Facilitation
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Projects
Australian Legislation Interpretation Tool
Developed a legal text interpretation platform leveraging LLMs, vector embeddings, and Knowledge Graphs.
Critical Minerals Search Platform
Engineered a scalable multi-LLM tool for analyzing historical mining exploration reports and enabling geospatial insights.
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