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.
Work
Sydney, NSW, Australia
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Summary
Led the production scaling of a GenAI prototype, optimizing deployment pipelines for 24/7 availability and significant cost reductions.
Highlights
Scaled a GenAI prototype to production using advanced MLOps, reducing latency by 30% and achieving 99.9% uptime.
Optimized deployment pipelines to deliver 24/7 availability and decrease operational costs by 20%.
Adapted infrastructure to meet shifting client goals, showcasing versatility across diverse AI applications.
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Summary
Directed AI strategy and implementation, significantly reducing underwriting turnaround time and ensuring ethical AI compliance.
Highlights
Reduced underwriting turnaround time by 4.4x via strategic prompt engineering, LLM fine-tuning, and RAG-based retrieval.
Led multi-disciplinary collaboration across legal, actuarial, and engineering teams to ensure ethical AI compliance.
Created sandbox environments and conducted AI safety training, fostering robust internal testing and red teaming.
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Summary
Guided cloud and AI engineering teams to enhance mineral prospectivity mapping and boost geospatial forecasting accuracy.
Highlights
Led cloud and AI engineering teams to enhance mineral prospectivity mapping utilizing Azure HPC and satellite analytics.
Boosted geospatial forecasting accuracy by integrating deep learning, aligning exploration technology with regulatory demands.
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Summary
Designed and executed novel experimental frameworks, contributing extensively to neuropsychopharmacology and brain development research.
Highlights
Designed novel experimental frameworks combining neuroimaging and behavioral data to study brain development.
Published extensively on neuropsychopharmacology, ADHD traits, and learning-by-analogy techniques.
Drove interdisciplinary collaborations across medical and educational faculties, enhancing research breadth.
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Summary
Mentored postgraduate researchers and founded a statewide neurotech methodologies group, advancing EEG/fMRI analytics.
Highlights
Mentored 20+ postgraduate researchers in EEG/fMRI analytics, data pipelines, and statistical modeling.
Founded and chaired the WA Neuromethods Group to advance neurotech methodologies statewide.
Certificates
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.