I design revenue engines — not campaigns.
I design the full revenue engine — marketing, the CRM data spine underneath it, and the AI layer running both — so smaller teams move more pipeline, and every number in the funnel is one you can trust.
I design revenue engines — not campaigns.
I design the full revenue engine — marketing, the CRM data spine underneath it, and the AI layer running both — so smaller teams move more pipeline, and every number in the funnel is one you can trust.
Nineteen years, one job description
“Nineteen years on a market-research floor, mapping FM radio signal overlap. Same job today, at an AI-native food marketplace — by way of India, Canada, and Europe. The tool changed: paper questionnaire, then a MarTech stack, now AI. The job never did. Find the measurement nobody’s gotten right yet. Build the engine around it. Keep the data honest. Prove it with numbers. Hand it off stronger than I found it.”
The Fixer, Not the Firefighter
A learner, seeker, fixer — an instinct that traces back to repairing oscilloscopes during a Physics degree. Every role opens the same way: audit before strategy, root cause before symptom.
Cost Center → Revenue Center
The most repeated result across six employers — 5% to 20% pipeline contribution, a cost center turned into a $3M revenue center, a leaner team producing more pipeline. Always the same unglamorous first move: fix what the CRM data is actually telling you before touching the campaign.
~40% Visionary, ~60% Implementer
Five-year AI-lean roadmaps, and the 60-day execution plan underneath them — always in the same breath. A pure visionary gets dismissed as a philosopher; a pure implementer gets typecast as tactical.
Solves the Unsolved Measurement Problem First
My very first job: no one in India had measured FM radio’s real listenership overlap — I built the methodology that did. IBM: no working gated-landing-page pattern existed — I built and shipped one. ThoughtFocus: no one had proven the small-room customer roundtable in fintech — I ran the first one. Same opening move, three industries: find the measurement nobody’s solved, build it once, prove it with a number.
One throughline, sharper at every stop — six industries
Each industry added something the last one didn’t: market research taught me to build a measurement methodology from nothing. FMCG analytics taught retail-offtake economics. IBM taught U.S. B2B scale. PlanetPro taught zero-to-one demand generation. ThoughtFocus taught the full RevOps architecture. 1-2-Taste taught AI-native execution. Same throughline, compounding — not repeating. Full detail on the Track Record page.
An AI-native revenue & marketing consulting practice, open now
The immediate focus is fractional and project-based work as CRO/CGO/CMO — bringing the AI-lean operating model and the single-source-of-truth RevOps discipline to companies that need that discipline before they can justify a full-time hire for it. The same operating model built inside six employers is the thesis for the practice, running now rather than someday. A full-time CRO/CGO/CMO seat remains very much on the table for the right company.
One thesis, two tracks: revenue and marketing run as one engine, AI as the default execution layer, humans on the judgment calls that don’t scale.
Let’s talk about what a revenue engine looks like at your company.
Looking for a full-time hire instead? Full-time CRO/CGO/CMO conversations are welcome too — just say so in your message.