Current Focus
At GrowthStory, I spend my time across investments and building products at GS Labs.
As a builder, I'm using AI to create a step change in the quality, availability and accessibility of healthcare and personal wellness.
My focus as an investor is seconary market investments in the US, and early stage investments into the Indian consumer and AI sectors. I also actively trade in public markets, and manage the family office's VC fund investments.
Background
My whole career has been built on AI. Since 2017, I've been working on RL and AI, using gpt-2 and gpt-3 in toy projects well before OpenAI hit escape velocty.
From 2023- 2025, I was the founding engineer (day -24 to day 801) at Sarvam AI, India's foundational AI company. I built the Voice AI platform, growing it from 0 to >2 Million daily calls.
I also built out the forward deployed team at Sarvam and contributed to the development of many of the foundational models.
I did my undergrad in Electrical with a minor in AI/ML from IIT Madras, after which I worked in Morgan Stanley for a year in Quant Research.
What I Believe
What I believe is by no means novel, but just as exciting. By 2030, AI is going to fundamentally change what work and business mean. As a result, I'm excited to approach my next chapter - building with AI at GSLabs - with a completely blank slate, and discover what it means to build with small teams, in an "AI-first" way.
My second hot take is that the No. 1 bottleneck over the 5 years is not going to be GPU availability, memory availability or model quality (we will solve all these problems). It's going to be energy availability and harnessing to the locations it is needed. So my advice to Sam Altman is - get more aggressive in building out your AI Data Centers, we're going to need 100x compute compared to what is currently in development.
On a separate note, I believe the traditional -1→0→0.5 PMF journey is fundamentally being altered by AI. Having tangible artifacts of the solutions you're working towards is going to be a part of early stage conversations. And this means - (a) more shots at target in terms of finding a product with real PMF at scale and (b) business execution and distribution is 10x more important, since engineering execution / product building has become much simpler.