AI product strategy
Picking the AI bets worth making, then shaping them into products with a real business case. Vision, LLMs, automation.
Wrote code first, built startups next, lead AI products now. 15 years, three continents, zero fluff.

Products shipped with and for teams at
Four things I keep getting pulled into. Usually when the stakes are high and the path isn't clear yet.
Picking the AI bets worth making, then shaping them into products with a real business case. Vision, LLMs, automation.
Idea to MVP in weeks, not quarters. I've done it as a founder, so I know what to cut and what really matters.
Platforms, APIs and partner integrations that hold up inside big organisations and across markets.
Digital services built for public bodies, where compliance, scale and citizen trust all matter at once.
Silicon Valley speed, India's build culture, and the Gulf's appetite for big transformation. I've worked inside all three.
Roadmaps are easy to draw. Here's what actually came out the other end.

I started as a developer, built my own companies, and still ship my own products on weekends.
So when I sit in a product room, I think about the P&L, the customer and the code at the same time. IIM Kozhikode MBA and a Certified Scrum Product Owner, for the record.