Guest lecturing at Northeastern University
I'm a product designer originally from Nagpur, India. I design human-AI collaboration interfaces for high-stakes enterprise environments: semiconductor fabs, healthcare systems, fleet diagnostics.
I deeply care about the moment a person decides to trust, question, or override an AI recommendation. That intersection of human judgment and machine intelligence is where I do my best work.
Beyond my product work, I guest lecture on interaction design at Northeastern University and mentor early-career designers transitioning into enterprise product roles. I believe design craft grows when shared.
Design for when the AI is wrong
Most AI products optimize for the success case. The edge cases, low confidence, conflicting signals, outright errors, are where design matters most. I spent two days on the high-confidence state. I spent two weeks on the state where the AI says "I don't know."
See it in practice: Fleet Intelligence →Trust is architecture, not decoration
Trust is not built through friendly copywriting or blue buttons. It is built through transparency: showing evidence, acknowledging uncertainty, giving humans real override authority. Every confidence score, every evidence cascade, every correction flow is a trust decision.
See it in practice: Fleet Intelligence →Systems over screens
A design system is not a component library. It is a decision framework that scales across products, teams, and contexts. At Axxess, the system I built outlived my tenure because I designed the governance process alongside the components.
See it in practice: Axxess Design System →Complexity is the material, not the enemy
Semiconductor fabs, healthcare workflows, fleet operations. I design for domains where simplification would be dangerous. The goal is not fewer things on screen. It is clarity within complexity, so the right information surfaces at the right moment.
See it in practice: Discover Fleet →