I don't pitch ideas. I build and test them.
4 products shipped, 6 memos filed, one method: read the market, write down the thesis, build something small enough to prove it fast.
Luxury Commerce Product Lab
BlueStone doesn't need six new features — it needs to promote three it already built, and fix the one real gap: buyback deduction terms live in the FAQ, not on the page where the decision actually happens.
- Reports
- Internships
- Products
- Markets studied
Products built to test a thesis
Each one exists to answer a question a memo could not answer alone.
ApplyOS
A 4-module operating system for the internship application process: resume tailoring, application tracking, and a shared resource collective.
SellerLens
A marketplace intelligence platform helping e-commerce sellers optimize listings, pricing, and catalog quality.
Bazaar Intel
A 0-to-1 AI market intelligence platform replacing static dashboards with real-time competitive, financial, and risk analysis.
SmartCart
An AI-powered grocery price comparison tool matching a free-text shopping list against a live catalog across four apps.
Where I've worked
Internships that taught me how real teams ship, sell, and measure, not just how I'd build it alone.
Founder's Office Intern
Gelo- Shipped 15+ 0→1 product features, user journeys & revenue model for the Events Page, driving 20+ B2B adoption and retention.
- Built an agentic AI outbound pipeline automating lead generation and first-touch outreach, increasing outreach capacity 5x.
- Created an ambassador management system for 30+ ambassadors with 10+ KPIs and automated reporting via Apps Script.
Product & GTM Intern
Spotnxt- Defined 8+ PRDs from 15+ customer interviews and 10+ competitor benchmarks, applying RICE prioritization for execution.
- Developed US GTM strategy scoring 8+ countries by ad spend and adoption to define ICP, positioning, and launch sequencing.
- Formulated a business growth model projecting ARPA, CAC, MRR, and customers to evaluate commercial viability and scalability.
Data Analyst Intern
BlueStock Fintech- Flagged a ~0.9% expense-ratio gap between Regular and Direct plans, analyzing 87K+ rows across 40 funds on 5 risk-adjusted metrics.
- Uncovered 97% folio growth and 22% SIP inflow CAGR, translating insights on investor behavior, product adoption, and growth.
- Replaced static reporting with a 4-page interactive dashboard, enabling faster fund evaluation across risk, returns, and pricing.
Growth Intern
Intellicuria- Conducted customer discovery with 100+ clinicians across Tier-2/3 cities, identifying 30+ recurring workflow pain points.
- Designed product communication assets showcased at 20+ expos and international conferences, engaging 1,500+ stakeholders.
Reports filed from the field
Strategy memos and teardowns written the way I would file them inside a company, not for a blog.
Luxury Commerce Product Lab
A full product management case study on BlueStone's online jewellery commerce experience: a six-stage customer journey map synthesized from ten primary interviews, a competitive scorecard against CaratLane and Tanishq, a screen-by-screen teardown of the live purchase funnel, three fully-scoped PRDs (buyback transparency, a true cost calculator, and a proactive consultation trigger), and a KPI/experiment/AI-opportunity backlog grounded entirely in the research rather than generic growth-hacking ideas.
Eternal Limited (formerly Zomato Limited)
Initiation of coverage on Eternal Limited (NSE: ETERNAL) with a SELL rating and a base-case DCF fair value of Rs. 125/share, implying -58.2% downside from a CMP of Rs. 300. Blinkit has become ~70% of consolidated revenue and turned segment Adjusted EBITDA-positive for the first time in Q1 FY27, but FY26 net profit actually declined YoY despite revenue nearly tripling — a jump driven largely by an accounting change in how Blinkit recognizes revenue, not underlying business acceleration.
Meesho: Marketplace Growth, Seller Quality & Monetization
A first-90-days internal strategy diagnostic on Meesho's marketplace, covering supply-quality risk, the Tier-2+ customer opportunity, category whitespace, and the ad/logistics monetization engine. Core finding: Meesho's registered seller base has grown past 700,000 while average orders per seller are declining — a supply-dilution signature that caps per-seller economics even as headline GMV keeps growing. Closes with eight RICE-prioritized recommendations, led by category-level seller-density caps and a trust-weighted ad-ranking layer.
Nourish Snacks Pvt. Ltd. — Series A Investment Evaluation
Investment Committee memo recommending a CONDITIONAL BUY into Nourish Snacks' Series A: Rs 40 Cr at Rs 135 Cr pre-money (22.9% stake), structured across three milestone-gated tranches, against a founder ask of Rs 160 Cr. The memo's central finding is a 7-percentage-point gap between management's claimed FY28 blended gross margin (61%) and what the channel mix actually supports without own-label sourcing (54%) — a gap the entire profitability timeline depends on closing. Expected return: ~4x base case, 8-9x bull case, by FY30 exit.
Product Teardown: Blinkit
A full strategic teardown of Blinkit (formerly Grofers, now under Eternal): jobs-to-be-done analysis, customer segmentation, an end-to-end funnel from discovery to referral, the product's dark-store density moat, its growth loop, seven behavioral psychology mechanisms it leverages, a full business model canvas, competitive landscape against Zepto and Swiggy Instamart, a North Star metric framework, ranked risks, a 19-item RICE-prioritized improvement backlog, and ten closing strategic lessons.
Product Teardown: Swiggy
A full strategic teardown of Swiggy's food, grocery, and dining businesses: jobs-to-be-done analysis, five customer segments, a seven-stage funnel from discovery to referral, the logistics-density moat, growth flywheel and four growth loops, eight behavioral psychology mechanisms, a full revenue architecture and unit-economics breakdown, competitive landscape against Zomato, Blinkit, and Zepto, a North Star metric framework, six ranked risks, a P0/P1/P2 RICE-prioritized roadmap, and eleven closing strategic lessons.
What I reach for
The methods and tools behind the research and the builds.
Background
I am studying mechanical engineering at IIT Madras. The training is in constraints, tolerances, and trade offs, not in growth hacks.
I apply the same discipline to marketplaces. I read a market the way I would read a system, then I write down what I think is true, then I build something small enough to test it quickly.
Most of what I work on sits at the intersection of Indian consumer commerce and the operational decisions that make or break it. Sellers, sequencing, trust, and the parts of a marketplace that do not show up in a pitch deck.
Get in touch
If you are hiring for product, strategy, or founder's office roles, I would like to hear about it.