Sai is a builder who learns by making. He's drawn to the space where software stops being a tool and starts behaving like a thoughtful collaborator, and he's spent years chasing that idea through small, steady experiments.  

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Sai's curiosity has always pointed at the same question: how do systems - businesses, products, people, decisions - actually work underneath the surface? He earned his MBA in Business Analytics from UMass Dartmouth, where he spent as much time building things on the side as he did in the classroom. The biggest of those side projects became fin0 (fin0.app), a personal finance platform he still runs as a solo builder. fin0 is built around a contrarian idea: most of fintech hides its reasoning behind one confident number, while fin0 keeps the user inside the math - every formula, every assumption, every trade-off visible. He treats it as his standing lab for behavioral design and agentic interfaces, returning to the same question again and again: what should software actually do for the person on the other side of the screen?

 

Originally from South India, Sai moved to the United States for his master's and now calls New Bedford home. In his free time, he's usually reading, go-karting, or hobby diving - three things that, on the surface, have nothing in common, but all scratch the same itch: the pleasure of being fully inside a moment where the only thing that matters is how well you read the next turn. He does his sharpest thinking in the early mornings, before the inbox wakes up and the real work begins.

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The Wave Function®

At Wave Function®, Sai is an Agentic AI Workflow Architect, where he builds internal systems, agents, and automations that help the team move faster and think more clearly. He works from a single conviction: most AI tools think for people; the better ones help people think better. Whether he's prototyping an agent to triage incoming deal flow or designing how information moves between the studio's four operating arms, the goal is the same: clear the clutter so the team's attention lands where it should. He believes the best internal systems are the ones that feel invisible once they're working.