Applied AI · Independent Research · Sydney

Ideas tested in the real world.

I am an enterprise AI go-to-market and business development leader with 25+ years spanning product engineering, delivery and commercial leadership across APAC and global markets. I stay hands-on with applied AI and machine learning—especially conservation, decision intelligence and generative systems—to keep learning and bring deeper, more practical understanding to my professional conversations.

A machine learning project visual representing field-tested applied AI research
Research → system → evidence
06Applied systems
07Published resources
25+Years in technology

Selected work

Research & systems

Each project is presented as an evidence trail: the problem, the technical decision, measurable outcomes, and the broader lesson. The work spans conservation, responsible decision-making, generative media and financial analysis.

Publications & tools

Writing in the open

Accessible explainers sit beside methods papers and live demonstrations, creating multiple paths into the same research for practitioners, executives and technical peers.

Continuous practice

Selected credentials

Professional study across AI infrastructure, MLOps, responsible AI, cloud and statistical learning supports the applied research practice.

Google Certified — Generative AI Leader
Adobe Qualified — Adobe Experience Platform
NVIDIA-Certified Associate — AI Infrastructure and Operations
Microsoft Certified — Azure Fundamentals
Statistical Learning with Python
Oracle Certified Professional — Java
Attention Mechanism certification
Google Cloud Feature Engineering
Professional Machine Learning Engineer
MLOps for Generative AI
Machine Learning Operations with Vertex AI — Model Evaluation
Responsible AI for Developers — Fairness and Bias
Model Armor — Securing AI Deployments