I build and scale revenue engines — from the first dollar to the hundred-millionth. Sales, Customer Success, Account Management, RevOps. AI-first. Always.
Fifteen years. Three industries. One relentless obsession with revenue that compounds.
I began in engineering — systems thinking, infrastructure, the satisfaction of things that hold under load. But I discovered early that the most interesting problems weren't technical. They were human.
How do you get someone to trust you enough to sign? How do you make them stay? How do you turn a customer into a champion? Those questions pulled me from hardware floors in Chennai into the world of sales — and never let go.
"The real revenue isn't in the signature — it's in the renewal, the expansion, the advocate who brings you three more logos."
— On the transition from sales to customer successTen years in sales and business development across IT infrastructure, EdTech, and SaaS — from cold-calling to closing enterprise deals in New York. Then the pull toward Customer Success: realising that acquisition without retention is a leaking bucket.
At Chargebee, I lived the $1M→$100M journey — from individual contributor to managing 20+ people across the US, Amsterdam, and India. I took a fragmented CS org and turned it into the highest-performing region globally, 140% NRR, a full President's Club sweep for the entire team.
Now at Murf.ai, I'm doing the $10M→$100M run again — but this time AI-first. Built the CS and AM functions from scratch. Designed Clay and Make automations that give my team superpowers. NRR grew from 114% to 128%.
Impact metrics, signature initiatives, the full career timeline, philosophy, and what I'm looking for next.
Everything behind the story — metrics, signature programs, career timeline, and what I'm looking to build next.
Revenue that compounds. Metrics that matter. Results across two high-growth SaaS companies.
The best revenue outcomes don't come from one team working harder — they come from the right people across functions pulling in the same direction. Here are three programs I built from zero that became defining inflection points.
When churn was hovering near 5% in 2019, I convened and led a cross-functional task force to find the root cause — not the symptoms. Rather than pointing fingers across departments, we brought the right owners into the same room: Sales, Implementation, Solutioning, Support, and Product.
The SWAT team ran a deep diagnostic not just on every churned account, but also on all the new deals sales was signing and the ones sitting in the implementation pipeline — surfacing patterns that no single team had visibility into alone. We rebuilt the handoff between sales and implementation, tightened onboarding coverage, and created early-warning triggers for at-risk accounts. The result wasn't a one-quarter fix — it was a structural change that held churn below 1% for 8 straight quarters.
Retention is necessary. But stickiness is what makes retention effortless. I initiated Project Sticky with a clear thesis: customers deeply integrated into your product ecosystem don't leave — and they spend more.
The initiative brought Partnerships, Sales, and Product together around two concrete goals: get every customer to complete at least one partner integration per quarter, and activate partner ecosystems to promote our joint value to shared customers. The flywheel worked in both directions — deeper product adoption reduced churn risk, while partner co-marketing generated inbound expansion from within the existing base.
Standard NPS tells you how a customer feels. Lifecycle NPS tells you exactly why, and exactly when — which is the only version of feedback that teams can actually act on.
I architected and co-built a feedback system that captures customer sentiment at four intentional touchpoints: immediately post-sale, post-onboarding, during the adoption phase, and at renewal. Each response is automatically routed to the team most accountable for that stage. Built end-to-end in HubSpot and Make — no engineering dependency, no manual triage.
The result: Sales learned where their promises didn't match reality. Support learned where onboarding broke down. Product learned what actually mattered at scale. Everyone stopped guessing.
Beyond spreadsheets and CRMs — the automation layer that makes lean teams punch above their weight.
The questions every founder asks before making a senior revenue hire — answered honestly.
Looking to build the revenue engine at a Series A and above startup, or any company that's scaling past $10M ARR. Let's explore if we're a fit.