Three decades of operating at the intersection of business, technology, and capital — turning that experience into a discipline others can use.
For three decades I have led businesses through change from the inside — as a CEO, a founder, and a global business head. I have turned around what was failing, built what did not exist, and doubled what was underperforming, across financial services, fintech, and global data, and across India, the US, the UK, Japan, and Southeast Asia.
The R Doctrine did not come from studying transformation. It came from doing it, repeatedly, and then setting down what the work taught me as a discipline others can use. That is what I mean by Practitioner Thinker: the thinking is earned in practice, and carried into the room.
Most recently, with my own hands, I built two enterprise-grade, multi-agent AI systems.
A four-agent engine that discovers trading strategies from first principles, and a multi-agent platform that composes human and machine intelligence across the work of investing. Work that would once have taken a large team and years — built as a team of one, with AI as the collaborator.
I include this not as a technical credential, but as direct evidence: I meet the technological reset as someone still doing the work, not describing it.
As a practitioner alongside you.
I work with a small number of institutions and leaders at a time, because this work is judgement-intensive and cannot be templated or scaled thin. I sit with the hardest questions an institution faces in the reset, and work through them alongside the people who carry the outcome. Real experience, honestly applied, to problems that matter.
No intake process, no gatekeeper. A note reaches me directly, and I reply myself — usually within a day or two.
It comes straight to my inbox, and I reply personally — usually within a day or two. I look forward to the conversation.
