The long version.

I'm Naman Bansal — a software engineer and AI builder based in San Francisco. I currently work as an SDE at Wiliot, an IoT company where I've spent two years building systems at a scale most engineers don't touch early in their careers: real-time ML pipelines processing data from over 9 million sensors, deployed into Walmart's infrastructure with 99.5% accuracy requirements.

Before that, I was a Data Scientist at the same company — building the models and pipelines that I now help deploy and scale. I've always been drawn to the full stack of a problem: understanding the data at its atomic level, building the system that processes it, and shipping the interface that makes it useful.

I grew up in Akola, Maharashtra, in a humble background. Technology was never something I was pushed toward — it was something I was always already doing. I was a gamer, I was the kid who wanted to understand how things worked, and I doubled down on that curiosity at every turn.

I don't follow playbooks. I go back to first principles — understand what's actually happening, why the existing solutions don't work, and build something that does. The problems I care about are hard and consequential: the kind that, if you solve them well, outlive the person who built them.

Outside of Wiliot, I build products. Data2dialog is a production Text-to-SQL engine that lets anyone query their data through conversation. Quizzx generates quizzes from any document. These aren't side projects — they're attempts to ship real things that solve real problems, built the right way.

I hold an MS in Data Science from the University at Buffalo, and a BTech in Computer Science and MBA in Technology Management from NMIMS University in Mumbai. The degrees taught me frameworks. The work taught me everything else.

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