Revenue Operator · AI-Led GTM

I build the engines behind revenue.

Data infrastructure, channel architecture, pricing and retention systems, and agentic-AI sales enablement — built and run to deliver ROI. A decade across B2B SaaS, consumer durables, and premium CPG. Every mandate reporting to the CEO.

₹1,000+ Cr
Revenue influenced
3
Businesses scaled to ₹100 Cr+
10M+
Customers reached
70%+
Of sales workflow now AI-run

The operating thesis

“The system is the strategy. Everything else is a result.”

I'm not a strategist who hands over a deck. I go in as the CEO's execution arm and build the machine — the data layer, the pricing and incentive logic, the retention triggers, the AI that runs the repetitive work — then operate it until the numbers move.

The through-line across SaaS, durables and CPG is the same: find the compounding levers, instrument them, automate them, and hold the P&L accountable to them.

Selected work

Three mandates. Three revenue engines.

Each built from the operating layer up — and each measured by what it did to the P&L.

Busy Infotech
AVP – Sales / GM – Special Projects · an IndiaMART Group company · B2B accounting SaaS
SaaS · ₹50→200 Cr

Joined as the CEO's execution arm; rebuilt the recurring-revenue engine, stood up a 53-person partner org, and deployed a 5-stage agentic-AI stack that now runs the majority of the sales workflow — scaling the business at ~43% average YoY.

20→75%
Subscription mix
3.0→5.4%
Lead-to-win conversion
₹5–10 Cr
Annual ops cost out (AI)
Hero Cycles / Hero Lectro
Head – Marketplaces / Head – E-commerce · India's largest cycle maker; #1 e-cycle brand
D2C · ₹40→120 Cr

Scaled the digital business across two years and two mandates — launched the Salesforce-integrated D2C store, opened an alternate B2B channel from marquee accounts, and replaced Excel forecasting with an integrated demand system.

₹30 Cr
D2C store, first 9 months
0→₹20 Cr
Alternate B2B channel
72→90%
Forecast accuracy
Kama Ayurveda
Manager – CRM & Business Analytics · India's leading premium Ayurvedic beauty brand
Premium CPG · ₹45→100 Cr

Owned the customer-retention mandate behind the scale-up — behavioural cohorts, a co-designed loyalty program, and omnichannel campaigns — plus the analytics that anchored a ₹100 Cr strategic equity raise.

40→67%
Repeat purchase rate
93%
Demand-model accuracy
−24%
Inventory cost

The differentiator

I don't talk about AI transformation. I operate on it — daily.

Beyond the enterprise stack at Busy, I run a two-store consumer brand whose entire back office is operated by AI agents I build and orchestrate myself — from ops to marketing to reporting. It's why the agentic-AI work isn't a slide; it's how I think and work. For any team betting on AI-led GTM, that's the difference between an advisor and an operator.

Builds & runs agentic-AI systems hands-on

What I bring

Operating capabilities

Revenue Operations

Pipeline & funnel systems, CRM architecture, forecasting, KPI dashboards as a single source of truth.

GTM & Commercial Strategy

Channel & partner development, pricing, margin & incentive design, alternate-channel build-out.

Retention & Lifecycle

Behavioural cohorts, loyalty design, renewal triggers and win-back that grow CLV as revenue scales.

Agentic AI Enablement

Designing and running multi-stage agent stacks that automate calling, follow-up, conversion and post-sale.

Decision Intelligence

Demand forecasting, cohort analytics, and MIS that turn field signal into product & commercial decisions.

Org & Operating Cadence

Building talent-dense teams, span-of-control, hiring scorecards and the review rhythm that sustains growth.

About

Engineer by training, operator by career.

Over a decade of building talent-dense orgs, multi-modal acquisition engines, GTM strategy, decision analytics and process automation — delivering ₹1,000+ Cr in revenue and reaching over 10 million customers.

I work best where the mandate is ambiguous and the outcome is a number: go in, build the system, run it, and leave behind an engine that compounds after I've moved on.

Based in Gurugram, India · open to leadership roles in India and remote roles globally.

Education & credentials

  • PGPM – Business Leadership, School of Inspired Leadership (SOIL) — Marketing & Analytics
  • B.E. – Computer Science, Chitkara University
  • Agentic AI & AI Agents for Leaders — Vanderbilt
  • Business Strategy — Illinois · Customer Analytics — Wharton · Marketing Analytics — Virginia

Tooling

Salesforce · Tableau · Power BI · Google Analytics · Xeno · Capillary · agentic-AI IDEs (Claude Code, and more)

Let's talk

Building something that needs a revenue engine?

I'm exploring leadership roles in India and remote roles globally, in revenue operations, GTM, growth and AI-led sales. If that's the person you need, let's talk.