Asia Pacific LNG (APLNG)
I specified 192 lithium (LiFePO4) 48VDC systems with BMS for APLNG, including thermal modelling for high-temperature cabinet environments.
MIT research found 95% of enterprise GenAI pilots deliver no measurable return — not because the models are bad, but because of adoption gaps, workflow mismatches, and outcomes nobody defined upfront. I hold the business case, the organisational change, and the production code in one head, so that gap doesn't open up.
MIT NANDA, The GenAI Divide (2025)
Built by an Engineer
The Triad
Business operations, organisational transformation, and technology. Most consultants bring one. I bring all three.
Director and part-owner of a power electronics company since 1994, running an ERP platform since 1996, doubling a company's highest-ever annual sales at Magellan. I understand how a business actually runs, not just how to ship code into one.
A Cert IV qualified trainer who wrote and delivered UPS and battery training to 42 ABB business units worldwide. Adoption succeeds when the people using a system are trained and incentivised for it — not when a platform is mandated from the top.
Production AI systems, self-hosted since 2024. OpenAI's own State of Enterprise AI report (2025) says it plainly: the constraint on enterprise AI is no longer model performance — it's organisational readiness. Technology proves the strategy; it doesn't replace it, and it's the smallest lever for the outcome.
Mechanism design over code. I design the incentives and workflow with your leaders first, then build the system underneath it.
On-prem, VPC, or air-gapped. Your compliance team signs off, not mine.
Full source access with support tiers available. Walk away any time — or stay because it works.
Your leaders define the logic — a connection-application queue, a tariff rule, a supplier scorecard — and I build it to production. Automate a broken incentive and it just gets gamed faster; I design the mechanism first, then the code underneath it.
I use your operational data to advise on supplier and asset health, not just to ship a tool. Battery-supplier quality assurance built from discharge-test data is real work I've delivered — the same discipline behind the live demo above.
Reference Projects
Before AI, I built power systems for the world's most demanding environments. This experience shapes everything I create.
I specified 192 lithium (LiFePO4) 48VDC systems with BMS for APLNG, including thermal modelling for high-temperature cabinet environments.
I led DC/AC UPS engineering for Zone 1 hazardous-area switch-rooms on the Kipper Tuna Turrum gas-conditioning plant — explosion-proof design review, Ex-rated equipment selection, FAT witnessing.
I was ABB's sole DC/AC UPS Systems Specialist — responsible for every standby power design across ABB's worldwide project wins. Battery qualification across VRLA, LiFePO4 and NiCd; BMS and thermal verification.
I delivered UNEP-funded consulting and training for two Pacific Island environment ministries on Stockholm Convention NIPs — POPs management, renewable energy programme reporting, on-island training.
I engineered ICAO safety-critical standby DC power for landing radar across Australian airports, and trained 30 field-service engineers on LiFePO4 — no-fail infrastructure, documented down to the cell.
I established a new hybrid power business unit, built the IEEE 485 cloud sizing tool, and delivered prompt engineering training to the team. Strategy, coaching, tooling, O&M manuals — full zero-to-one stand-up.
I designed, built and deployed this site — Next.js 15 / Cloudflare Workers with a RAG knowledge assistant over 2,400+ documents, a 6-agent development pipeline, and 15+ MCP integrations.
I built an IEEE 485 battery sizing tool and EN 50272-2 hydrogen venting calculator on Cloudflare Workers / D1 / R2, with Stripe payments and multi-tenant deployment. Decades of battery engineering as software.
30-minute call. No slides. No sales pitch. Just a conversation about what you need.