Building the growth engine at Housing.com. Previously co-founded Flex EV (0 → 500 vehicles). I work at the seam of paid media, measurement, and AI creative ops — as an operator & strategist.
Fragmented 180-campaign account starved of learning volume.
Restructured 180 → 100 campaigns into PAN-India / city-cluster / city tiers. Shifted bidding from Highest Volume to tCPA under SOP-led governance.
Bad property images slipping into paid campaigns.
Shipped an AI creative engine — 15K videos via Kling + Veo 3, ~30K images enhanced. Real-time scoring model filters non-marketable creative pre-auction.
No per-channel × campaign view of lead quality.
Wired CAPI for Leadgen with CRM + dialer signals. Bids now optimise toward qualified leads, not raw submits.
Budget allocation on last-click & gut calls.
Built the measurement framework Housing.com now uses to evaluate true campaign lift and cost per incremental lead.
Co-founded a B2B2C EV rental business in Delhi NCR. Scaled to 500 vehicles and ₹40L/month topline in 12 months, while holding a full-time role at Housing.com. Exited in early 2025.
Rider onboarding, collections, recovery, maintenance. 1 → 3 hubs, 2 → 30 team.
Replaced manual QR collections with Easebuzz bulk payment links. Cleaned up reconciliation, cut leakage.
Built a Fleet Management Platform + Rider App in-house for rent tracking, dues, and asset visibility.
Integrated telematics for remote immobilisation & theft prevention on the Ola fleet.
Cold outreach → commercial close across four logistics platforms.
Hired the first hub managers. Wrote the SOPs for collections, recovery, redeployment.
Exited in early 2025 after a structural disagreement on operating discipline with my co-founder. Took the lessons; took the operator scars.
My first role out of IIT KGP. Joined a 6-person BI team that was new to the cloud — helped take it from Excel reports to a production data platform powering 500+ users.
Dashboards built on live production DBs — 12 hrs of dev time per dashboard, slow loads.
Shipped a cloud BI stack on AWS S3 + Glue + Athena + QuickSight. Dev time dropped 12 hrs → 3 hrs, loads near-instant.
Co-authored the AWS guest blog on this work.
Project staffing made on tribal knowledge across a global engineering org.
Built a feature store and shipped a Talent Tracking System to match engineers to projects, surface hiring gaps, plan training.
Client Desk had low adoption among 400 named accounts.
Led the activation campaign, reworked onboarding. DAU grew 70%+ QoQ; onboarded 98 of 400 clients in a single month.
Attribution tells you which pipe the water came out of. Incrementality tells you if you needed the pipe. Once you've run a geo-holdout across 12 cities and watched a channel vanish without the topline moving, you stop arguing about last-click.
Most "AI in marketing" posts are prompt libraries. The real wins are boring: scoring creative before it ships, generating 15K variants when you'd previously brief 15. Hype is on image generation; leverage is on the filter that runs after.
The trap for technical growth folks is becoming the one pulled into every cross-team thing — CAPI wiring, dashboard fixes, Zapier flows — instead of compounding in one channel. I've done the cross-team work; I'm deliberate now about owning a channel's P&L.
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A structured product case on a real Flipkart problem — retention, growth, user-journey diagnosis.
View deck↗A social-impact startup idea — solution model, GTM, and scalability approach.
View submission↗Competitive case-solving under time pressure — ambiguous problem, data-backed recommendation, tight clock.
View case↗National-level case competition — market research, strategy, and a business-grade solution end-to-end.
View entry↗Currently at Housing.com. Open to senior performance / growth roles at consumer-tech companies in India. Delhi NCR, open to relocation.