15+
Years across software engineering and technology leadership
Engineering leadership
Paint a picture of what good looks like.
Teams rarely move slowly because they cannot code fast enough. They move slowly because nobody agreed what they were aiming at. I lead engineering organisations, and most of the work is making the target clear — then building the teams, architecture and feedback loops that hit it repeatedly.
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.
6+
Years leading engineering teams and organisations
~2.5×
Sustained payment throughput gain, 13K to 32K transactions a day
~3×
Delivery speed across teams on the AI-first operating model
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
13K → 32K Transactions per day across instant and EFT rails
Roughly 2.5× sustained capacity, with resilience and settlement integrity preserved
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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
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.
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.