Turning business challenges and ideas into technical solutions and successful products.
I dig into business challenges and turn them into software solutions and successful products. I create, scale and optimise — with a focus on key results, data-driven decisions and innovation.
The work I have done longest is leading the people who do the work — building, hiring, aligning, growing and scaling multi-team engineering organisations across start-ups receiving seed investment and top Fortune 500 companies. Cross-functional. Cross-geography. Outcomes-led.
With a Ph.D. in Artificial Intelligence, I work today at the intersection of research and product — helping founders and operators move from "we should do something with AI" to a product their customers actually want, delivered at the standard their business demands.
The people who are crazy enough to think they can change the world, are the ones who do.
— Apple, “Think Different”, 1997
Five rules at the centre of how I build, ship and scale software products — grounded in fifteen years of practice and shaped by a Ph.D. in AI.
Data first
Decisions on signal, not opinion. Instrument before you launch.
User experience
UX is not decoration — it is the product. Design from the user inwards.
Ship early
Real users surface real problems faster than any plan. Get it in their hands.
Measure, repeat
Iterate on what the numbers say. What gets measured gets improved.
Built to scale
Simple where it can be. Engineered to grow without a rewrite.
A focused practice grounded in fifteen years of building, leading and shipping — from architecture and AI through to leadership and delivery.
Leading multi-team engineering organisations is the work I have done longest. Building, hiring, aligning, growing — and scaling — the people who ship the work, across start-ups receiving seed capital through to top Fortune 500 environments. Cross-functional. Cross-geography. Outcomes-led, with key results and data-driven decisions at the centre.
A Ph.D. in AI grounded in years of applied work. From research-backed prototypes to AI features in production — bringing scientific rigour to systems that have to ship and hold up under real users.
Designing systems that are simple where they can be and rigorous where they must be — from green-field zero-to-one to scaling products through their second and third growth curves. Java, Spring, distributed systems, cloud.
Bringing technical depth and business application together to solve real challenges with data — predictive models, machine learning, and the discipline to turn analysis into decisions on the line. R, Python, applied ML.
Successful products are products people want to use. Engagement, usability and retention are not decoration — they are the difference between a feature shipped and a feature that compounds. Discovery to delivery.
Advocate of agile methodologies and certified Scrum Master. I have applied these principles across very different contexts — from start-ups finding product-market fit to enterprise programmes with serious constraints. Pragmatic over dogmatic.
I am an entrepreneur at heart. If you want to talk about start-ups, AI, fintech, security or building software products that ship — reach out.
Reach out on LinkedIn →