I see a problem and I can't leave it alone.

The problem. Fashion brands burn lakhs on every catalogue shoot. Models, studios, logistics & editing. Then they do it all again next month, & the month after.

What I built. AuraX. AI-generated catalogue shoots. The model, the garment, the set, all generated. 3× better, 10× faster, at a fraction of the cost. We built on diffusion models & got our virtual try-ons & human-image generation good enough to stand against Google, Stable Diffusion & MidJourney, before the frontier labs had really walked into the room.

Mensa, Aditya Birla Fashion Ventures, TMRW, SKORE & TTK Healthcare shipped with it. We raised ₹22L from IIIT Hyderabad's CIE, IIM Bangalore's NSRCEL & MEITY's TIDE 2.0. On the way out, we turned down ₹28.5L more.

The thinking. AuraX didn't begin as AI shoots. It started as VR for museums, became 3D & AR for e-commerce, then AI shoots. Each turn was the same instinct, sharpened by what the last one taught me. The hardest call wasn't building it; it was ending it. When the big labs shipped models I couldn't out-build & platforms sold the output for pennies, the honest move was to stop. Knowing when to walk away is its own kind of product sense.

The problem. Students wanted deals. Brands wanted students. Nobody had connected the two on campus.

What I built. CollegeStuff, in my first semester of college. Student discounts from 250+ brands delivered to 80k+ students every month. $6,500 in revenue before we shut it down. It won #1 at the GSEA Navi Mumbai chapter; I was the youngest founder in the room, at 18.

The problem. The hardest decisions arrive when you're least sure & have no one good to ask.

What I built. Prajna. A board of advisors in a box, available all the time. It doesn't flip its answer every time you push back; it runs a real consultant's arc (question, diagnosis, then counsel) through proven thinking lenses, frameworks & books. Built for clarity under ambiguity, not comfort.

The thinking. Most AI tells you what you want to hear. Good advice does the opposite. I wanted a tool that thinks with you, not one that agrees with you.

The problem. Astrology is either a scam that preys on fear, or wisdom buried so deep no one can use it.

What I built. Karma Mitra. A Vedic astrology AI grounded strictly in practical rules: the kind an astrologer earns through experience, not the classical texts. If an answer isn't grounded in them, it won't answer. No predictions, no remedies, no fear-selling. A guiding light for self-reflection, nothing more.

The thinking. I study astrology myself. The energy, not the classical side. The point isn't to predict your future. It's to help you see yourself clearly.

The problem. I was studying for my degree & the notes were dead. Text you memorize & forget.

What I built. A free notes platform that thinks. A fast, on-device AI you can talk to your notes with. Every concept pulled into a 3D graph you can explore, so you see how ideas connect across courses, not just within one. An MCP server to wire it into your own AI, & one-click 'copy to AI' that drops a whole topic, pre-prompted, into ChatGPT or Claude. Free, for any student, forever.

The thinking. Exams test whether you memorized a course. They never test whether you saw how it all connects. I built for the second kind of student, the curious one, because that's the one I was.

The question. How do you 3× Linktree's India revenue in a year?

What I did. Built the whole operating system: market sizing; a growth model with a worst-case 'nuke' scenario; acquisition across organic, paid, events & partnerships with channel-level funnel math; and the monetisation lever most people skip (an ARPU framework, who/when/what to charge, a pricing teardown, micro-bundles like 'analytics for ₹50 for 7 days'). End to end, not a slide deck.

The thinking. Strategy isn't a slide. It's a system you could hand someone & they'd know exactly what to do on Monday.

The question. Where's the cheapest growth hiding for a post-PMF giant?

What I did. Two channels, fully costed. SEO: expand 4K→6K keywords for a projected 28-38× ROI. Referral, rebuilt as the centerpiece, at ~558% ROI, while quietly fixing the auto-membership trick that was annoying users.

The thinking. The best acquisition often isn't new spend. It's the leverage already sitting inside the product.

The question. How do you turn a first-time BNPL user into a habit?

What I did. Three activation hypotheses, each with full metric trees: first credit use inside 24 hours, second use inside the first billing cycle, verification by the second. All mapped to three sharp ICPs.

The thinking. Activation is a sequence, not a moment. You design the second action, not just the first.

The question. What actually keeps a player, and what makes them leave?

What I did. RFM segmentation, the HOOKED model, three engagement campaigns & a resurrection campaign (rank rewards, clans, regional ladders), each tied to a real churn reason.

The thinking. I've put 1,000 hours into Valorant & 10,000 into BGMI. I'm not analyzing players from the outside. I am the player.

I'm a Top Mentor on Unstop, where I mentor aspiring founders & students, & I mentor school students across Uttar Pradesh with Know Your College. It's the part of my week I protect most. I do it for one reason: knowledge grows by sharing.

The problem. 7,000 freshers in my incoming batch at VIT. Even meeting one new person a day, I'd graduate having met half of them.

What I built. An Instagram page where every single person introduced themselves to the whole batch. I started the tradition. It grew to 4,500+ followers, 14M views, 30% engagement & a 20,000-strong community across Instagram & WhatsApp. Brands came to us.

The thinking. The problem was loneliness at scale. The answer wasn't an app. It was a ritual that made 7,000 strangers legible to each other.

I write on X & post videos on Instagram. Two different niches, one habit. Learning doesn't stop, & the fastest way to learn is to teach.

Before all of it, I drove growth & sales for Campus Express in Vellore. Built a base of 40,000+ students & signed the sponsorship for my college's largest fest as their rep. My first real lesson in distribution & B2B sales.