Elevator Pitch Shipped Products Case Studies About Experience Argue With Me Contact
Bengaluru, India

Tech Consultant. Product Manager. Product Manager Who Builds.

I decide what’s worth building, then build it. Through research, experiments, design, plain judgment, and yes, AI.

Three products I built alone. Three I took apart.

Three Ways In

Pick the one you actually came for. I’d rather send you to the right page than make you hunt for it.
Watch me ship6 min

Want to see something I built?

Three products, live, built alone. Start with FitCheck. It’s the one where I had to decide what not to build seven separate times, and wrote down every one.

Open FitCheck
Watch me think5 min

Want to see how I decide?

Three case studies on products built by others. Reddit’s logged-out audience grew 27% last quarter. It earns from the logged-in one. That gap is the whole problem.

Read the Reddit study
Watch me be wrong90 sec

Want to see me get it wrong?

Six forks I actually hit while building. Pick a side and I’ll tell you what I did, including the calls I later had to reverse.

Argue with me

Products I Built FitCheck Savio Amazon Discovery Intelligence

Built and shipped solo. Open one for the reasoning, the evidence, and a demo you can use. All three still work. I checked this morning.
Product● In useChrome extension

Turning the Size Chart Already on the Page into an Answer

How I researched, designed and shipped FitCheck, a browser extension that compares the fit a garment was designed for with the fit you’d actually get.

Built it because I ordered a 30 and needed a 28.

0-to-1 discovery · Browser extension surfaces · Competitor benchmarking
Product● DeployedConsumer AI

Answering the Question Budget Apps Never Do: Can I Afford This, Right Now

How I built Savio, an AI companion that reasons over your real income, commitments and goals, and checks every figure it writes against your own data first.

Built for people who are bad at budgeting and weirdly happy to tell an AI about it.

User interviews · Deterministic AI & grounding · Trust gating
Product● DeployedMulti-agent pipeline

Solo Building a Pipeline That Turns a Week of Amazon Reviews into One Decision

How I built Amazon Discovery Intelligence, a pipeline that reads public reviews, counts what each problem cost people, and names the one worth starting.

For PMs with dark circles from a feedback queue they still had to skim.

LLM orchestration · Multi-agent pipeline · Success metrics

Case Studies CREW Reddit YouTube

Product decisions on products already built, across social, luxury and platforms. Nobody asked me to write these. All writing →
Case study CREW 10 min read

One Trip at a Time

CREW tells you which terminal your connecting flight leaves from, before you land. Other apps message about a flight, not the trip. And every message like it is made by hand.

Luxury travel · Scale & unit economics · Summary + deck
Case study Reddit 5 min read

Reddit Is Read Without Being Visited

Reddit’s logged-out audience grew 27% last quarter and its logged-in audience grew 7%. It earns from the second and is increasingly made of the first.

Consumer social · Activation · Summary + deck
Case study YouTube 8 min read

The Demand You Can’t See

A product can only measure what it lets you do. The wants it blocks leave no trace. So look at the trouble people go to on their own to get around it.

Platform economics · Three-sided market

About

The short version. The long version is the rest of the page.

I became a PM inside enterprise SaaS. Long cycles, big rooms, every client twenty years my senior.

It taught me to own the gap between what gets promised and what ships. But nobody in enterprise picks the software. Someone buys it and everyone else complies. Nothing I shipped was ever anyone’s choice.

Consumer is the opposite, and it is the part I actually want. Millions of people who can leave. A test that answers you in a week instead of a quarter. Design and psychology doing the real work. Why someone abandons a form, why they trust one number and not another, why they’d rather guess than ask.

So I started building it myself. Three products in, I’m not going back.

Also true
Cooks a very good biryani. Read English Literature. Now reads reviews the same way. Big on history, hazy on the present. Can’t drive. Can’t read a map either.

Work Experience

Three years in enterprise delivery. The last one is the one that counts.
Enterprise SaaS
2022 – 2025 · 3 yrs
2024 – 2025 Associate Product Manager

I owned the gap between what clients wanted, what we could build, and what we could ship on time. Lots of prioritization, a few painful trade-offs, and one very firm go-live date. Turns out, product management is mostly making those three things agree.

2022 – 2024 Technical Consultant

I built things in SAP, broke things in SAP, and then figured out why they broke. Mostly, I turned business requirements into working data and analytics solutions.

Argue With Me

Pick a side, and I’ll show you what I knew, what I assumed on top of it, and what would have proved me wrong. None of them had complete data. That is the job.
Fork 1 of 6
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That is how I decide.

Six calls, none of them made on complete data. Where you went the other way, I want the reasoning. That is the conversation I am after.

Open to product roles

Let's build something worth owning.

Early-stage, India-based or remote. If you're hiring, I'd like to hear about it.

Fair warning: I will ask you a lot of questions. That part is the job.