About
I grew up in India and started my career in analytics and consulting. Since then I've worked across Google, Microsoft, Uber and other places, with experience spanning product management, growth, analytics, data, AI, platforms, consumer products, B2B software, and internal tools.
I've also built products outside my full-time roles, including Blimey and Badhat.
I've lived in different parts of India, the United States, and Ireland, and have spent significant time traveling. Experiencing different environments has shaped how I think about work, relationships, lifestyle, and what I value.
One of the most important transitions in my career was moving from analytics into product management. It allowed me to move from analyzing decisions to being responsible for making them.
Today, I'm particularly interested in the intersection of product, data, AI, and the infrastructure required to make AI useful at scale.
How I think about product
Start with the problem
Understand who has the problem, what they do today, why it isn't good enough, and what evidence exists before deciding what to build.
User empathy
Data matters, but understanding what users are trying to accomplish and where they struggle is critical, especially for complex products.
Data-informed, not data-controlled
Use data to understand behavior, test hypotheses, and measure outcomes without pretending every product decision can be reduced to a metric.
Build for adoption
A product isn't successful because it shipped. It is successful when people choose to use it and it changes something meaningful.
Platforms should earn their complexity
The right abstraction creates leverage without forcing consumers to absorb unnecessary complexity.
AI should remove friction
The most interesting AI products change the underlying workflow, not just the interface around it.
Now
What I'm working on
Building products around data, analytics, diagnostics, and AI at Uber.
What I'm interested in
AI products, data platforms, product strategy, growth, platform products, and the infrastructure required to scale AI.
What I'm learning
How AI changes the way people interact with complex systems, particularly systems that historically required users to understand the underlying technology themselves.
What I'm thinking about
What kind of work compounds over time, not just in terms of résumé value, but in terms of learning, energy, autonomy, relationships, and the kind of life I want to build.