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🏢 Senior Product Designer at Microsoft — shipping AI-powered features for Excel
📚 ISB Leadership & AI Programme — building strategic and business fluency alongside design
✍️ Reading about AI-native design, systems thinking, and the future of the design function
🌏 ****Based in India. Collaborating globally. Open to what's next.
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Senior Product Designer at Microsoft. ISB Leadership & AI programme. 12+ years across enterprise software, consumer apps, e-commerce, telecom, and advertising. Two startups built from zero.
But none of that is the interesting part. The interesting part is that I started in digital before UX had a name — when Flash was a career choice, when the only brief was 'make it work', and when the only feedback loop was whether people came back. That era is gone. But the mindset it gave me isn't: move fast, stay curious, measure what matters, and never confuse the craft with the outcome.
Design is the most interesting problem-solving discipline I know. It sits at the intersection of psychology, business, technology, and aesthetics — and it demands fluency in all four simultaneously. I find that combination genuinely thrilling. What I love most isn't the deliverable. It's the moment a complex problem suddenly has a shape. When you've done the research, run the workshops, drawn the frameworks, and suddenly the answer is obvious — and you can't believe it wasn't obvious before. That moment is worth everything that comes before it.
I am a design generalist by choice. I've worked in fashion, advertising, digital agencies, enterprise software, telecom, and startups. I've been a Creative Director, a Design Manager, a Founder, and a Senior IC at one of the world's most complex software products.
That range isn't scattered. It's the point. The best design decisions I've ever made came from knowing just enough about the adjacent discipline to ask the question nobody else was asking. Generalism isn't the absence of depth. It's depth applied across a wider surface.
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The thing about AI in product design isn't the tools. It's the shift in what's possible.
At Microsoft, I didn't just design AI features. I designed for a fundamentally different interaction model — one where the system generates output, and the designer's job is to shape the intelligence, not just the interface. Chart Insights, the Wiki Agent, Copilot integration — these weren't UI projects. They were epistemological questions: what should an AI say, when should it say it, and how do you design trust with a system that can be wrong?
That's the work I find most interesting right now. I'm currently deepening this through the ISB Leadership & AI programme — learning to think about AI not as a feature, but as a business transformation lever. The goal isn't to become an AI engineer. It's to become the designer in the room who understands AI well enough to ask the right questions and build the right experiences around it.
I believe the designers who'll matter in the next decade are the ones who can work fluidly at the boundary of human judgment and machine intelligence. That's where I'm deliberately positioning myself.
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I'm a maker by instinct. I've built apps, launched brands, sold plants, and almost started a 3D print farm. Not all of it worked. Most of it taught me something that no design brief ever has.
I consume voraciously across disciplines — philosophy, behavioural economics, AI ethics, business strategy. The reading list isn't decorative. Every book I finish changes how I frame the next problem.
I have strong opinions about the design community's love of process theater. I think most design frameworks are taught wrong. And I believe the best design education is shipping something real and watching what happens.
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