Start with the problem
The best technology is not always the newest. I begin with the person, decision or process that genuinely needs to improve.
About
I build the foundations that help organisations use AI safely at scale.
Crawley, United Kingdom
Most AI demos work in perfect conditions. Real businesses are messier: security matters, systems have to integrate with existing work and someone must own what happens when an AI system behaves unexpectedly. My work has been about closing that gap.
I started my career building enterprise software, then moved through analytics and data leadership into applied AI. That path taught me to see an AI product as more than a model: it also needs secure foundations, clear operating choices, a delivery path and a team that understands it.
Today I work at the point where promising AI meets enterprise reality. I create security standards, build automated adversarial testing, explore private model deployments, take technical ownership of production systems and help engineers turn new practices into repeatable capability.
I am now applying those lessons to a product of my own. I am keeping the details private while I test the idea, listen to potential users and build carefully. This site is where I share the thinking behind that journey.
How I work
A few principles I return to.
Make it trustworthy
Security, privacy and clear ownership should shape a product from the start—not be added just before launch.
Show the value
A useful product should connect clearly to a better decision, lower cost, saved time or improved experience.
Leave the team stronger
Good documentation, honest communication and mentoring help a team move faster long after one project ends.
What I enjoy working on
Problems I am well placed to solve.
- Securing AI systems before they reach users
- Evaluating private and controllable model strategies
- Moving AI from prototype to sustainable production
- Helping teams build capability rather than dependency
What shaped my perspective
Engineering depth, business context.
Engineering taught me how to make systems work. Analytics taught me to ask whether they improve a decision. Enterprise AI taught me that security, ownership and adoption matter as much as the model.
My MBA added another lens: a product has to create value people can recognise, not simply demonstrate impressive technology.
Education
A technical foundation with a business perspective.
Master of Business Administration (MBA)
University of Liverpool Management School · 2022
Bachelor of Engineering (BE)
Madras Institute of Technology Campus · 2014