Simplifyingthecomplex.
I help people and organisations make sense of complex technology: AI, data, platforms, teams, habits, and automation that let engineering move faster without leaving a mess behind.

Eight working modes.
One thread.
The work moves between leadership, architecture, delivery, writing, and hands-on experiments. I try to keep the same bias through all of it: make the system easier to understand.
Technology Leadership & Strategy
I like the point where strategy has to become real work. Roadmaps, funding, operating models, executive conversations, and the patient team-building that makes the plan survive contact with production.
A map, not a résumé list.
Five clusters from the live profile. The numbers are a rough read, but the spread is accurate: leadership, platforms, systems thinking, emerging tech, and creative work.
- Driving outcomes0
- Creative thinking0
- Communication0
- Strategic vision0
- Collaboration0
- Technology roadmapping0
- Multi-cloud (AWS & GCP)0
- Kubernetes & containers0
- Servers & virtualisation0
- Networking0
- Security & firewalls0
- Infrastructure as Code0
- Design thinking0
- Infrastructure design0
- Systems architecture0
- Simplifying complex systems0
- SaaS platforms0
- Enterprise architecture0
- AI agents & LLMs0
- Event-driven systems0
- Kafka & streaming0
- Elastic & search0
- Blockchain0
- Data analytics0
- Technical writing & blogging0
- Video editing0
- Fitness & basketball0
- Youth coaching0
- WordPress & Divi builds0
- Macroeconomics0
Small bets, built
hands-on.
The blog makes it pretty clear: I learn best by building. These are the projects where fitness, AI, automation, and infrastructure ideas get tested outside the day job.
An interval app that grew out of training, coaching, and too many bad timers.
Intrvl started after the commute disappeared in 2020 and training came back into my life. I wanted a simple way to run structured sessions without fiddling with a phone mid-workout.
A small bridge between agent output and the humans who need to see it.
Sharedrop is an experiment in making machine work visible: screenshots, charts, artefacts, and status updates posted somewhere a person can actually review them.
Need someone to make
the system less messy?
I work well where strategy, platforms, people, and delivery all meet. Cloud, automation, AI, team design, technical debt - the useful work usually touches more than one box.