
hi, Quilr team i'm Ruban.
i'm a software engineer from Tamil Nadu, India. i like building things i'd use myself.
these days, most of my work is offensive security, with hobby projects on the side.

at Boostmyshop, i built my first browser extension. it was called Market Radar.
it brought prices from more than 300 marketplaces into one place. instead of checking each marketplace separately, people could see their prices together.
we began with a bare extension setup. then Plasmo launched. a week later, i migrated our existing extension to it. the framework made the tooling easier to work with.
i used TypeScript, Manifest V3 and Plasmo. when i read your role, the stack was familiar.

outside work, i built WardroWiz, a virtual try-on Chrome extension that works on any website. i built it, launched it, and later sold it.

you choose clothing from a page, upload your photo, and see yourself wearing it. i made the parsing work across websites without a separate integration for each store.
the Reddit launch reached 500k+ engagement. you can see the demo there, too.

since 2025, i've worked independently as a security researcher. i investigate vulnerabilities in government and education platforms, then report what i find.
my work is mainly offensive. findings have included account takeover, SQL injection, password-reset weaknesses and messaging features accessible without authentication.

these are a few examples, covering six government and education platforms. i sent the reports to the affected institutions and CERT-In.
i've done other penetration tests too, but i can't share those details here.

i also make YouTube videos as Riwan. i share projects and security investigations there.

i found a bug in GeoGuessr too. in this video, i walk through the finding and demonstrate it.

some of my hobby projects are about exploring data. in this one, i used AI to bring 3,700 videos into one visual map.

before i came across Quilr, i'd been thinking about a browser extension that notices personal or sensitive information before someone sends it to ChatGPT, Claude or another AI tool.
people could choose what to detect through configurable rules, then get a nudge to reconsider or rewrite the message before sending it.

so when i read about Quilr, the product made sense to me. you were working on a problem i already wanted to solve. i wanted to help build the extension.
i've built extensions with Plasmo, Manifest V3 and TypeScript, made them work across websites, and spent the past year on offensive security. that's the experience i'd bring to your team.
you can see more on my portfolio, LinkedIn and YouTube.
