Scaling
Technology & Teams
Fractional CTO for the AI age. I combine 38 years of engineering experience with modern AI to build tech that actually works
I help scaling companies build the best technology. Whether it's integrating agentic AI or fixing your core systems, I focus on what delivers value, not just on what's trending.
3+ Decades of Tech Leadership
By the Numbers
38
Years Experience
$150M+
PE Raised
0 - 100
Size of teams I have built
15 years
Systems I have created still running
$15B+
Portfolios managed by my systems
10M+
Monthly users of architectures I have created
> 70%
Measured productivity gain via AI strategy
100K
App users within 1st year
5.3x
Leadership for revenue growth
How We Work Together
I provide technical leadership and execution tailored to your company's stage and velocity. It's decades of experience at the speed of modern AI.
Strategic advisory
The sounding board
Best for founders needing high-level validation, AI roadmapping, and architectural oversight.
Fractional CTO
The embedded leader
Deeply integrated into your team 1–2 days a week to scale culture, process, and platforms.
Studio of one
The rapid builder
Months of agency development collapsed into 5–10 days of elite, production-ready execution.
Latest Thinking
Insights on engineering culture, strategy, and scaling.
AI coding: what the research actually says
A peer-reviewed study puts numbers to the AI coding debate. The results might surprise the sceptics.
AI coding: what's actually happening
Cutting through the noise on AI-assisted development, for people who need to make decisions about it.
The context switching myth
When your tech team blames slow progress on 'context switching', they probably mean something else entirely.
Due diligence: what tech auditors actually look for
A peek behind the curtain of PE/VC technical DD. What raises red flags, what impresses, and how to prepare.
The cockpit and the code: why tech teams can learn from pilots
Aviation has spent a century formalising how to handle human error. It is time software engineering caught up.
Why your AI strategy might be failing (hint: it's not the model)
Most companies have spent 18 months playing with LLMs and have nothing to show for it. The problem isn't the technology.