On the clock
Making the work count, not the hours
PM, Referrals & Platform, Stable Money
Apr 2026 – Present
Stable Money is a fixed-income investing platform for FDs and bonds, backed by Peak XV, Z47 and Fundamentum, with 60 lakh+ users and ₹8,000 crore+ in AUM by 2026.
I moved to Stable Money to put what I'd learned about AI to use, and to level up both my own work and the way the company works.
- 15% New transacting users (come through referrals)
- 22% Platform AUM (from referred users)
- 30+/day Campaigns (3x, 80% less time)
- 20+ Colleagues (using my AI tooling)
- Experiments and campaigns scaling referrals to 15% of monthly new transacting users, 22% of platform AUM
- Campaign automation pushing 30+ campaigns/day (3x) while saving 80% of the time
- Internal tools for company-wide AI adoption, used by 20+ colleagues
PM, Growth, Acko
Oct 2025 – Mar 2026
Acko is India's digital-only insurance unicorn, backed by Accel and Amazon, with 78M+ customers across car, bike, health, life and travel insurance; in FY25 it clocked ₹2,837 crore in revenue.
I joined Acko a month after being let go from MPL, under Jashan,
as part of the Growth team, working directly with the CPTO. I spent part of my time fixing and
standardising how user data was collected, so it got richer, became parseable and could compound.
- 12+ Venues (on Acko Safe Drop, Bengaluru)
- 1000+/day Customers (offered a safe ride home)
- 2x Engagement (on Acko Privileges)
- Led go-to-market and scaled Acko Safe Drop across 12+ Bengaluru venues; today it serves 1000+ customers a day, offering them a safe ride home on their nights out. It's part of #ACKOCares, Acko's initiative to go above and beyond on user protection, and sets it apart from other insurers
- Unified partner benefits, services and offers into one loyalty experience, doubling privilege engagement for existing Acko customers (I wasn't there long enough to see the compounding LTV)
- Improved profile fill rate by 15% through experiments on the profile page and on how data was collected across Acko's lines of business
PM, Acquisition & Activation, MPL
Mar 2024 – Sep 2025
MPL was India's largest gaming platform, with 100+ games; in '24 it had 45M+ MAU across India, the US and Brazil, $90M+ in revenue and 10M+ gameplays a day.
Fortunate enough to choose from a couple of offers, I joined MPL to work under
Kaushik, the best (and my favourite) product manager and leader
I've worked with so far, and later under Viral. I
owned product-led growth: 0-to-1 ideation, execution and go-to-market of strategies that lowered acquisition costs by unlocking new traffic channels.
- −10% CPI (on 15M+ monthly visitors, across 3 geos)
- +25% D7 GMV (on 50k+ daily installs)
- +30% D7 ROAS (via industry-first off-platform gameplay)
- 5 F2P apps (launched in India and Brazil)
- Got to work on industry-first off-platform gameplay with the Nothing2Install stack, eventually leading to +30% D7 ROAS on 7k+ daily resurrections, with further planned experiments on acquisition funnels
- Scaled up the MPL Cash Club creator programme, generating 1000+ UGC videos on YouTube that drove 500+ installs/day
- Launched and scaled 5 F2P apps across 2 geos, driving 10% of platform traffic at 30% lower CPIs
- Scaled the MPL F2P website and MPL Cricket to 100k visitors/month and 4k+ installs in 2 months, before they had to be taken down after India's RMG ban
APM, User Experience, BigBasket
Jan 2022 – Feb 2024
Youngest of 20+ PMs, and the only one without an MBA. BigBasket, once India's largest online supermarket at 500k+ orders a day, is a key part of Tata Group's digital commerce strategy.
I joined BigBasket as an intern for my final semester, working remotely from college with the
semester on the side, and was offered a full-time role 5 months into the 6-month internship. I
started under Tanu and then worked under
Yakshit. I learnt a lot about data analysis and
experimentation, which are foundational for product management! This is where I saw what being
data-driven means, and why it is so critical in product.
- +1pp Visit-to-order conversion (on 10M+ monthly visitors)
- ~30% Checkout-to-payment conversion (for new visitors)
- −45% Bounce rate (on product description pages, +41% add-to-basket)
- ₹90M+ Monthly topline (launched bbnow, pan-India on web)
- +1pp visit-to-order on 10M+ monthly visitors through UI and architecture revamps optimizing Core Web Vitals and the user experience on the website
- ~30% better new-visitor checkout-to-payment conversion with a checkout redesign accommodating a new address-addition flow
- ₹90M+ monthly topline by taking bbnow 0-to-1 pan-India on web for 200k+ users, and unlocked and scaled tobacco sales from the bbnow store, which weren't possible on the listed app
- +30% SEO traffic by serving crawlers a pseudo dark store (named "global city") for catalogs and PLA feeds
SDE Intern (Frontend), Blue Yonder
Jul 2021 – Dec 2021
Blue Yonder (formerly JDA Software) makes AI-driven supply chain software on its Luminate platform, for companies like Walmart, Starbucks and Unilever. Panasonic acquired it in 2021 in a $7.1B deal.
My first internship, in the first semester of my final year of college - my foray into the corporate
world and software development. I worked under Sandeep and
Sagar on the Luminate Fulfilment and Pricing
products at Blue Yonder, learning React and building frontend. A lot of firsts in
these 6 months, working from home in Pune and coordinating with German colleagues!
- 50+ Businesses (using features I shipped)
- 2x Test coverage (reducing production bugs by 80%)
- 50%+ E2E coverage (from scratch)
- 2 of 10 PPOs offered (one of them was mine)
- Built features in multiple Luminate Pricing and Fulfilment products used by 50+ businesses
- Doubled unit test coverage for Luminate Market Pricing, cutting production bugs by 80%
- Set up end-to-end testing from scratch, a first for the repo, covering 50%+ of the product's user flows (Webdriver.io)