Product leader and former data scientist with 15+ years in SaaS, working at the intersection of engineering, data, and business. Expert in prioritising and translating user feedback and technical insights into great products, from discovery to revenue and competitive advantage. Known for being the connecting tissue between engineering, data, and business teams with hands-on technical fluency to ship fast and drive measurable results that improve data reliability, speed, and system visibility.
I use AI daily, to prototype, analyze, and move faster, and bring that same judgment to deciding where AI creates real product value versus where it's noise. I care about what changed, not what shipped: data reliability, system visibility, and outcomes I can defend with numbers.
Customer and data insight isn't a phase before building. It runs through every decision, from framing the problem to validating the fix.
The best solution rarely fits the obvious box. I connect unrelated dots across teams, data sources, and constraints to find the fix nobody else was looking for.
Building robust, scalable systems with modern technologies and best practices, with technical fluency with engineers.
Owning outcomes and impact, not just shipping, delivering measurable results and real business value.
I use AI daily to prototype, analyze, and move faster, then apply that same judgment to where AI actually creates product value.
Clean, trustworthy data isn't a backend detail, it's the foundation everything else depends on. I treat data quality and governance as a first-class product problem, not an afterthought.