How I Think
Curiosity brought me to research. Conviction keeps me here.
I grew up in India’s culturally layered landscape, where introducing the country to a new sport as a young girl meant navigating expectation as much as competition. Skating required balancing ambition with resistance to implicit assumptions about who belongs in certain spaces.
That tension shaped how I see systems- who they empower, who they overlook, and how they scale.
I went on to represent India internationally as a competitive skater. I trained across Kathak, Contemporary, and Hip-Hop, and completed Grade 7 piano after beginning at age eight.
Skating taught me composure under scrutiny and clarity in high-stakes moments.
Dance trained me to detect nuance beneath the visible.
Music taught me structure- how small shifts can reshape an entire system.
My identity is multifaceted. So is my lens.
Technology became my medium for applying those lenses at scale. It allows me to ask layered questions about usability and incentives, about access and accountability, and to help teams move from insight to confident decisions.
My work sits at the intersection of innovation and inquiry. Whether I’m designing longitudinal research systems, shaping platform strategy, or guiding Responsible AI efforts, I focus on enabling intentional decisions in complex, high-stakes environments.
My life is the architecture beneath how I research- attentive to tension and contradiction, sensitive to signals beneath the obvious, and steady in high-stakes ambiguity.
How I Work
Attention as leverage.
I clarify decisions behind questions- what is at stake, what risk is being managed, and what would change with better evidence. I invest early in reframing until the direction is sharp, aligned, and actionable.
Frame
I design research and choose methods based on the decision they need to support to minimise risk and increase decision quality. I balance rigor with timing, reducing uncertainty at the right altitude so teams can move forward with confidence.
Leverage
I zoom in with a microscopic lens to uncover nuance and zoom out with a macroscopic lens to understand the system. This layered perspective allows me to translate signal into direction and insight into action.
Direct
Research, to me, is a connective discipline. I partner closely with Product, Design, and Engineering from the outset to align on the decision to be made, defining success criteria together, and agreeing on how evidence will inform direction. Accountability for decisions is shared, not delegated to research.
When there is pushback or competing priorities, I surface tradeoffs explicitly:
? What decision are we actually trying to make?
? What level of risk are we willing to accept?
? What evidence would materially change our course?
I prioritize work where ambiguity is high, stakes are meaningful, and decisions are difficult to reverse.
I measure research by the decisions it enables- Its purpose is not to summarize reality, but to shape it.