I build products from zero.I've also run a company.

The first and biggest thing I built at Truva. Before it, valuations lived in Excel. Now a rules-plus-LLM pipeline matches Marathi sale records to exact flats, and the same data powers offers, Get an Offer, the broker app and market dashboards.

Built on the pricing engine's data, so a sales rep could go from a valuation to an offer in one place. Only about 1 in 10 offers becomes a signed mandate, so offers had to be quick to make.

Started as a web link, but brokers trusted only apps from an app store, so it went native and monthly active brokers rose 30%. Sale-price data, commission tracking and a branded marketing tool took 3-month retention from 20% to 50%+.

Began as a 12-hour MVP that won the company AI hackathon. I rebuilt it alone in React Native and shipped it in 2 months instead of the planned 3, after dropping two features that did not matter.

Built from the ground up when the tech team was just me and the CTO. Property pages carry AI-generated Vastu and property reports behind a login, so an interested visitor becomes a lead with a phone number.

Sellers want to know what their home is worth, and buying seller leads through ads is expensive. A free instant valuation range, built on the pricing engine's data, brings them in.

Investors and developers could look at how the engine worked but change nothing. Access started as an email allow-list in Auth0, then moved to the database because that was simpler.

Integrated the Engati chatbot with the CRM through 6 APIs, with a handoff rule: pass to a human when the bot cannot answer, or when the buyer asks for one.

Active agents post their listings and numbers publicly so people will call them. The tool collected those, removed anyone already in the CRM, and gave the channel team a tracked calling list.

Every broker visit used to be arranged by hand by the channel-partner team, taking almost half their day. Brokers now book visits themselves in the app.

Built on the matched sale records: Truva's share of transactions, how fast it was growing, resale against new sales, and resale volume in micro-markets it had not entered yet.

Behaviour-based and time-based journeys for 5,000+ active leads, integrated across the app, the website and the CRM.

One of the first things I built, when the tech team was just me and the CTO. Reps used to message leads one by one; now they send campaigns from Airtable through Periskope's WhatsApp APIs.

The in-house databases and Zoho kept disagreeing, and people fixed the mismatches by hand. An automatic two-way sync fixed them at the source.

The full plan had staff walking buyers through homes on video calls, with talk of VR later. Instead, one person screen-shared the existing Matterport 3D tour on a call. Too few buyers wanted it, so nothing heavier was built.

I looked at the funnel data first, then at support tickets, to find the steps where small businesses gave up, and removed them. These were sign-up drop-offs, not customers leaving.

Operations could make account changes themselves instead of waiting on support or engineering.

Monitoring and root-cause tools in production, so live bugs could be traced and fixed faster.

There was no money to hire until funding came, so I was the only tech and product person. I also wrote the full setup and handover documentation so others could take over.

The first app could serve only one shop. I rebuilt it for many sellers, with Google Maps, and launched it in Panipat with more than one seller.

Kirana stock is shared with walk-in customers and nobody tracks it, so online orders failed. If a shop had 10 of an item, the app listed 5, and shops that filled more orders came first.

Buyers said the missing item was often the one they wanted most. So when a seller dropped an item, the buyer got a WhatsApp message, an SMS and a push alert within a minute or two, with a short window to cancel.

Each standee, banner and newspaper flyer carried its own QR code with UTM tags, tracked in Google Analytics.

The project was handed to me to deliver. I rebuilt it from the ground up on modular, reusable components.

An internal app store, room booking and visitor management, built from zero for 1,000+ employees.

A website and professional email for the family's textile business.