Gareth Roberts, Ph.D

Led the production scaling of a GenAI prototype, optimizing deployment pipelines for 24/7 availability and significant cost reductions.

• 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.

Directed AI strategy and implementation, significantly reducing underwriting turnaround time and ensuring ethical AI compliance.

• 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.

Guided cloud and AI engineering teams to enhance mineral prospectivity mapping and boost geospatial forecasting accuracy.

• 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.

Designed and executed novel experimental frameworks, contributing extensively to neuropsychopharmacology and brain development research.

• 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.

Mentored postgraduate researchers and founded a statewide neurotech methodologies group, advancing EEG/fMRI analytics.

• 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.

Developed a legal text interpretation platform leveraging LLMs, vector embeddings, and Knowledge Graphs.

Engineered a scalable multi-LLM tool for analyzing historical mining exploration reports and enabling geospatial insights.