15+ years
Across software engineering and technology leadership
Engineering leadership
Building engineering organisations that turn technology into business advantage.
I'm a senior technology and engineering leader focused on building high-performing teams, scalable platforms, and technology strategies that move businesses forward.
My experience sits at the intersection of engineering leadership, software architecture, cloud, AI, platform engineering, fintech, and enterprise transformation.
Engineering Leadership · Architecture · AI Enablement · Cloud · Platform Engineering · Digital Transformation
What I build
I build engineering systems that scale beyond the code.
Good software matters. But sustainable engineering organisations require more than good code.
My work sits at the intersection of software engineering, architecture, delivery and leadership — helping teams move from fragmented execution toward clear technical direction, stronger engineering practices and predictable delivery.
Across fintech, SaaS, platform engineering and digital products, I have worked on systems where reliability, scale, security and speed all matter at the same time.
The common thread has been the same:
Build the technology. Build the team. Build the system that allows both to keep improving.
Engineering Leadership
Building and leading distributed, cross-functional engineering teams
Architecture
Cloud, platform, integration and solution architecture
Fintech & Payments
High-volume payment systems, banking integrations and financial platforms
Modernisation
Legacy transformation, cloud migration and platform evolution
AI-First Engineering
Using AI to improve how teams plan, build, verify and learn
Selected work
Proof from complex engineering challenges
Three flagship outcomes. The full body of work lives on My Work.
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01
Scaling a High-Volume Payments Platform
Constrained → Scaled Transaction throughput across instant and EFT rails
Higher sustained capacity with stronger resilience and settlement integrity
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02
Building an AI-First Engineering Operating Model
1× → 3× Project execution and delivery speed
Averaged across participating teams, from inception and ideation through to rollout
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03
Modernising Legacy Technology Without Disrupting the Business
Unsupported → Supported Legacy platform estate
Modernised incrementally, with no big-bang rewrite
Great engineering organisations create environments where good decisions happen repeatedly.
Focus
What I Do
Engineering Leadership
High-performing teams, engineering systems, accountability and capability development.
Technology Strategy
Connecting business objectives to architecture, investment and technical execution.
Architecture & Platforms
Scalable, secure and maintainable systems designed around business constraints.
Differentiator
AI-First Engineering
AI is changing how software is designed, built, reviewed and operated.
I'm particularly interested in moving organisations beyond simply giving developers AI assistants toward building AI-enabled engineering systems.
The opportunity isn't simply to make developers type faster. It is to redesign the engineering system around faster feedback, better context and higher-quality decision making.
- Context-aware workflows
- Engineering agents
- Automated verification
- Security guardrails
Operating model
Engineering Playbook
A continuous feedback system for engineering organisations.
CONTEXT
Give engineers and AI the right information before asking them to solve the problem.
AIM
Define what we are aiming at before implementation begins.
EXECUTE
Delegate according to risk. Engineering discipline remains mandatory even when AI increases velocity.
VERIFY
When execution becomes cheap, verification becomes valuable.
LEARN
Every lesson should change the system, not just the people in the room.
Latest thinking
Notes worth opening
- AI Engineering AI-First Engineering Isn't About Coding Faster The biggest opportunity from AI is not generating more code. It is redesigning the engineering system around a world in which producing code is increasingly cheap.
- AI Engineering AI increases the need for engineering discipline Faster generation makes context, planning and verification more important — not optional.
- Engineering Leadership Context before code Most delivery friction is not a typing problem. It is a shared-understanding problem.
AWS Solutions Architect Professional · Azure Solutions Architect Expert · TOGAF
Technology scales when the engineering system behind it scales.
Architecture defines what is possible.
Engineering turns it into reality.
Leadership determines whether an organisation can do it repeatedly.
That's the intersection where I work.
Let's build something meaningful.
Whether the challenge is scaling an engineering organisation, modernising a platform, introducing AI into software delivery, or shaping a technology strategy, I'm interested in problems where engineering creates leverage.