Hello. I'm Charul.
I build products,
and I sweat the details.
I'm a Product Manager in New York, and I've worked across payments, pricing, and consumer credit. Each click costs something, and on a hard day it compounds. I read every product by asking who pays.
About
I learned product inside global banks, close to money in motion.
I spent my early career in global transaction banking at Credit Suisse and cross-border payments at Barclays, learning how money actually moves: cutoff times, correspondent chains, failure modes with paperwork attached. Along the way I worked on UPI infrastructure with NPCI, while India rebuilt retail payments in real time, and realized the rails aren't laws of physics. Someone built them, and someone can build better ones.
I went to NYU Stern for an MBA in Quantitative Finance and Strategy, and the pivot clicked. I already knew how money moves and where it breaks, so I could focus on building on top of it. The surprise was my first marketing class ever, which taught me to see products from the person's side of the counter. I've been suspicious of planned obsolescence ever since, including in my own roadmaps.
Today I own a self-serve customer experience product at Capital One, in one of consumer credit's harder corners. I sit close to the funnel: instrument where people drop off, rebuild the flows, watch what moves. And when I have a question, I don't wait for an answer. I prototype it, pull the data myself, and find out.
- BITS PilaniEDU2015 - 2019 Bachelor of Engineering (Honours), Chemical Engineering, Computer Science minor 2015 to 2019
- Credit Suisse2019 - 2021 Product Manager · Predictive Analytics, Global Transaction Banking 2019 to 2021
- NPCI2021 - 2022 Product Manager (pro bono) · UPI 123PAY 2021 to 2022
- Barclays2021 - 2023 Product Manager · Payments Infrastructure, Global Payments 2021 to 2023
- NYU SternEDU2023 - 2025 Master of Business Administration, Quantitative Finance and Strategy 2023 to 2025
- Hummingbird2024 - 2025 Product Manager · Pricing & Scenario Intelligence 2024 to 2025
- Capital One2025 - now Product Manager · US Card 2025 to now
Case Studies
Work I can talk about.
Owning the opening integration roadmap after an acquired fintech spend-management platform came in-house, and deciding what to integrate, in what order, and what to deliberately leave alone.
ReadRebuilding the delinquency experience so that getting help no longer required a phone call, and lifting self-serve completion 30%.
ReadOwning the roadmap to bring an acquired payment network online for tens of millions of cardholders, and building the guardrails that held authorization performance steady while the rails changed underneath them.
ReadOwning an ML FX pricing engine across 50+ corridors, and deciding how to price as transparency compressed the margin and customers could finally compare.
ReadProjects
Some things I've built.
Pick a card type and merchant category. See the full interchange breakdown and who takes what.
Enter the first 8 digits of any card. Decode the issuer, network, type, and what it means for fees.
Describe a payment scenario. AI recommends ACH vs wire vs RTP vs card with the tradeoffs explained.
Paste any pricing page. AI decodes the strategy, anchoring tactics, and buried gotchas.
Enter your balance and rate. See exactly what your debt costs across three payoff strategies.
Describe a dispute. Get the right reason code, evidence checklist, and a ready to send response.
Other builds, including the fun ones
Describe a purchase against your income and expenses. Get an honest yes or no with the actual math.
Paste a medical bill, get plain English explanations of every charge.
Paste a bank statement. AI finds every recurring charge and tells you which ones to cut.
Enter all your debts. Avalanche vs snowball side by side with total interest and payoff dates.
Describe your product. Get a complete pricing model with tiers, rationale, and risks.
Enter your monthly spending mix. Find the card that pays you back the most, with the math shown.
Paste any text. AI flags the cognitive biases hidden in the language.
Describe your lifestyle, discover neighborhoods that actually match it.
3D browser game. Collect stars, avoid obstacles, beat the clock.
3D browser game. Guide a lantern through dark passages without it going out.
Type anything. AI picks a template and writes the perfect caption.
Pitch a concept, get back a full movie treatment with logline and cast.
Describe a game idea, get detailed mechanics, levels, and design docs.
An AI that actually remembers your past conversations, not just this session.
Drop a YouTube URL, ask anything about the video without watching it.
Upload any image and have a conversation about what's in it.
Ask any question, get AI-powered research with real sources and synthesis.
Snap a grocery receipt, get a full nutritional breakdown of your haul.
Enter a flight number, get a human readable breakdown of what it means.
Describe your space and budget. Get renovation ideas with rough estimates.
Compare the true cost of walking versus public transit for any trip.
Writing
Notes from the back end of the money stack.
I read everything I can about how money works, and I write about the part that pulls me in most. The front door gets the attention, but the real systems live at the other end, and that is where I spend my time. Some of these are my own notes, some are teardowns of books that taught me how to see it.
Field Notes
7 piecesTreating pricing like a product is the right idea. But the back end, the month spend runs away from someone, is the part almost no one builds.
ReadAs money rails go invisible, they feel exactly like a bank while carrying none of a bank's protections. The recourse disappears along with the word crypto.
ReadThe approval/fraud/cost balance is scored entirely from the merchant's side of the counter. The false positive is a real person the system decided to read as a threat.
ReadUnderwriting moved from a human's gut to a rigid model to a data-rich re-underwriting. At every step, the question that matters is who falls outside the box, not who gets in.
ReadIncumbents do not lose to fintechs because of COBOL. They lose because they are governed to prevent failure in a market that rewards reducing the cost of it. The bottleneck is the org chart, not the stack.
ReadEnormous AML spend, a tiny catch rate, and the people it hurts most are the ones who cannot prove they exist at all. Compliance is necessary. The way we do it now is not working.
ReadAs money moves itself, banking dissolves into the invisible back end of other people's products. Frictionless access is fine until the bad month. No one is building the embedded path to forbearance.
ReadBook Teardowns
3 piecesA swipe is two journeys at different speeds: authorization in seconds, settlement in days, fees extracted in between. The one mental model every fintech PM should be able to draw from memory.
ReadFirst-principles banking: if you started from scratch today, what would you build? The embedded-finance thesis is right. But banking everywhere means default everywhere, and the futurists skip that part.
ReadComposability and the five flaws of centralized finance. The most extreme front door yet: permissionless, global, always on. It also deletes the back end entirely, and that is not a solved problem.
Read