Case studies
Each case study covers the problem, my role, the architecture and the measured outcome.
I designed and built Amplify-Knowledge, a Claude-based knowledge and delivery system that keeps itself current with every product release. Over 50 colleagues use it, and it improved delivery by a further 50–70%.
50–70% delivery improvement
Can local open-weight models safely take over mechanical AI work? I ran a structured evaluation of 19 model configurations and several agent harnesses, and applied the same pattern to an "AI factory" for coding and customer engagement.
25–50% projected token saving
An Emergency Department Digital Intelligence Helper that uses machine learning, simulation and smartwatch data to guide patients to the nearest hospital with an emergency department. Built on synthetic health data, it won the Technical Achievement Prize.
2nd Technical Achievement Prize
I created Amplify-Now's reporting team, along with its process, standards and training. Report delivery fell by 60%, and the team now spans Australia, India and the USA.
−60% ticket-to-delivery time
A metadata-driven integration on AWS S3, Airflow and Snowflake. INX's customers can import and export their own data safely, without anyone babysitting the process. Presented at the Snowflake User Group Perth.
~0.6 FTE saved on manual integration work
A 2-week POC automating Telethon Kids Institute's monthly ORIGINS reporting turned into a multi-year partnership and the foundation of the institute's Data and Analytics Platform.
2 weeks to automate a 3–5 day monthly process
Arc Infrastructure's in-house monitoring product was replaced with a real-time pipeline. Level-crossing sensor data flows from collectors to TimescaleDB, an Azure medallion architecture and a live Power BI status and alarm report.
Live status and alarms for every sensor and location