I'm an award-winning filmmaker, creative innovation leader and AI-native product builder. For 20 years I've worked at the intersection of technology, storytelling and human behaviour. Today I build and test my own answers to a question that has followed me my whole career: what should technology become next?
Technology keeps arriving. The question is what we do with it.
I've spent much of my career looking at the gap between what technology currently does and what people actually need from it. I started around advanced science and supercomputing at the Met Office, moved into turning technology into commercial application, then into helping lead product teams building it. For the last 18 or so months I've run my own ventures as a practical laboratory for AI-native product development, directing multiple language models and coding agents while holding the product vision, the creative direction and the human experience. The CVs have the facts, tailored to each role. This page is the thinking behind them.
It began around supercomputers, aviation and the hard work of turning sophisticated capability into something people can understand and act on. Four chapters, one continuous thread.
Where I learned to translate infrastructure into human value.
I worked around supercomputing, science and complex technological capability, presenting the Met Office supercomputer and its scientific work to international aviation audiences.
Learning to translate sophisticated infrastructure into understandable human and commercial value has shaped everything I've done since.
Where capability turned into commercial reality.
I worked on commercial aviation opportunities and helped secure major aviation business, including work with temporary weather sensing technology deployed in unusual places, from 4x4 vehicles to temporary runway installations.
That work brought the Chairman's Award for Business Excellence, following success connected with the British Airports Authority group.
Where I moved from selling the story to shaping the product.
I moved into leading and shaping digital product projects, including technology development work connected with Zizzi, and later OK Chef.
OK Chef set out to challenge the conventional food delivery and ordering model. It reached a 35p customer acquisition cost in paid social testing and made the final stage of a major university catering tender.
Where I put the whole approach to the test, on my own.
I've used my own ventures as a working laboratory for AI-native product development, directing multiple language models and coding agents while holding the product vision, creative direction, user experience judgement and system continuity myself.
I wanted to find out how far one creative product leader could go by combining a clear product vision with multiple AI systems. The answer was: much further than I expected. Now I want to find out what happens when that model meets serious human engineering, research and organisational scale.
I'm not a conventional career software engineer, and I don't pretend to be. I work as product vision holder, creative director, storyteller, systems thinker and AI-native development orchestrator. Each of these is a question I couldn't stop thinking about, then built to explore. The products matter less than what they reveal about how I think.
Most CRMs remember transactions. Mine tries to understand relationships.
Traditional systems record contacts, activity and pipeline stages. I'm more interested in the relationship itself, and in what it needs next.
Most AI video tools generate clips. Mine directs experiences.
A filmmaker-led approach to generative media. The point isn't faster media generation. It's directed, coherent and potentially adaptive experience design, shaped like a story rather than assembled like a feed.
Most learning platforms organise content. Mine asks who the learner is becoming.
An approach built around the person, not the syllabus. I take these ideas into schools proactively, working directly with young people and educators to see what actually holds attention and moves someone forward.
Most AI assistants wait for instructions. I'm exploring technology that builds continuity with the person using it.
This is grounded in product design, architecture and human experience, not claims about sentience. The interesting problem is continuity: a system that carries context responsibly, with clear permissions, over time.
I don't believe the future of technology should be designed entirely inside technology companies. I build working products and put them into environments where people actually live, learn and work.
I take technology into schools. I test it with businesses. I work directly with young people, educators, founders and teams.
I watch where attention drops, where confusion appears, what feels intuitive, what creates emotional engagement, and what people do that I did not predict. Then I take those observations back into the product.
A series I'm developing asks one question of the familiar objects around us: what should everyday technology become when it understands the human being using it? These are placeholders for media in production.
What happens when financial technology gives people agency, not just access?
What happens when entertainment understands context, not just viewing history?
What happens when education technology understands development rather than merely recording performance?
What happens when business software understands the relationship instead of tracking activity?
What happens when navigation understands the purpose of the journey?
Video cards will live here.
A CV is the formal version. These are the ones I'd rather tell in person, and every one of them is true.
Pick one. I'll tell you the whole thing straight, and you'll understand more about how I work than any list of jobs could show you. That is rather the point.
For the past 18 months I've used my own technology ventures as an experimental lab for AI-native product development. That was the proof of concept. It worked.
Now I want to work in an environment where storytelling, product thinking and human experience can be combined with experienced engineers, designers, researchers and commercial teams.
I don't want to stop working in an AI-native way. I want to discover how far that way of working can go when it's combined with serious human expertise and scale.
If you're building technology that needs to mean something to the people using it, we should talk.