Teams at Commonwealth Bank

Design, build, validate, deploy, and monitor machine learning, Generative AI, and Agentic AI solutions for branch and customer service experiences. Translate business challenges into AI approaches, guide data governance and risk considerations, shape data science strategy, and partner with product, engineering, risk, and business stakeholders. Help move AI solutions from experimentation into reliable production while communicating technical recommendations to senior stakeholders.

Lead a specialist data science chapter delivering production-grade machine learning, generative AI, and agentic AI solutions. Drive architecture, experimentation, evaluation, deployment, monitoring, responsible AI, and model governance in a regulated environment. Partner with engineering, MLOps, risk, architecture, and business teams while coaching data scientists and advancing technical excellence across fraud and scam prevention initiatives.

Leads hands-on engineering for AI-enabled operational risk platforms using .NET, Python, AWS, microservices, APIs, and agentic AI. Designs scalable architectures, writes production code, mentors engineers, establishes CI/CD and GitOps practices, and improves testing, observability, reliability, security, and compliance. Partners with product, data science, and platform teams to evolve MVP solutions into enterprise-grade systems while integrating event streams and producer-led data products.