— PM · USER BEHAVIOR · FINTECH · AI
Diagnose. Intervene.Move the metric.
Systems Engineer → Product Manager · MBA, IIM Calcutta · Simpl
Product manager focused on fintech, user behavior, and systems. At Simpl, I conducted research across 100+ users that shaped delinquency interventions and informed a go-to-market P&L decision. I now publish product research and case studies on lending, marketplaces, and behavioral product design.
TM Cafe: Turning Dating Pain into a Behavioral Marketplace
A marketplace with 12M registered users had ~99% discovery failure. The product existed, but most never found it.
Why Half of New Simpl's SPaD Users Didn't Know They'd Chosen a Credit Product
New-user delinquency ran 4.5× higher than repeat users. The gap wasn't intended; it was confusion about what they'd signed up for.
— ABOUT
I came to product through systems engineering. Three years at Infosys, an MBA from IIM Calcutta, and a PM internship at Simpl shaped how I think about products — mechanism first, metric second.
I'm based in Bangalore, open to PM and APM roles in fintech, payments, lending, and AI-enabled products.
— Currently Thinking
Most lending systems are designed to predict risk. Thin-file users expose a different problem: missing information.
Updated June 2026
— BACKGROUND
100+ interviews across 4 cohorts. Prioritised 4 interventions. Research cited in a P&L decision.
Led campus IT for 5,000+ users. Migrated 5 apps AWS → Azure. Zero service downtime.
Automated 10+ KPI dashboards. Migrated 5 legacy apps. Built internal API tool across 7 countries.
Case competition. 3,300+ participants. Top 2 finish.
MBA · IIM Calcutta
Resume →— HOW I THINK
— CONNECT
I enjoy working on products where behavior, incentives, and systems intersect. If you are building in fintech, payments, marketplaces, or AI-enabled workflows, I would love to talk.
— Now
Living document
QUESTION
Current
Why do users default into bad decisions even when the information is visible?
PUBLISHED
Recently
TM Cafe: Turning Dating Pain into a Behavioral Marketplace
RESEARCHING
Current
Thin-file underwriting, trust systems, and alternative credit signals
LEARNING
Ongoing
Account Aggregator infrastructure, payment rails, and AI-assisted product workflows