I find the insight behind the data and turn it into products people actually understand. UX researcher at the intersection of human–AI interaction, mixed-methods research, and visual storytelling.
A resume tells you what I did. This tells you how I think.
I spend my time getting close to people — through cross-market interviews, diary studies, and field work — then translate the messy, human truth into research that shapes how AI products get built. Before research, I was a designer and data visualizer, so I don't just hand over findings. I make them impossible to ignore.
Across these projects: generative & foundational research, evaluative & usability studies, longitudinal programs, cross-market and cross-platform studies, mixed-methods, survey & statistical analysis, concept testing, and data-driven design research. Each card opens a full case study.
Generative · AI StrategyA two-market generative study (Mexico + India) that decided what AI should be for small businesses — shaping modality, branding, and monetization for a product serving millions.
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Longitudinal · 12 weeksEmbedded with 8 real Indian SMBs over 12 weeks to de-risk a global Business-AI launch — logging 86 issues and surfacing the #1 retention risk before rollout.
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Concept Testing · MonetizationCross-platform research (WhatsApp Mexico + Messenger Philippines) that validated — then redirected — the subscription model behind Meta's Business AI monetization strategy.
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Mixed Methods · Quant + QualA study where the quantitative signal pointed one way and the qualitative story proved the opposite — a working lesson in why a single metric can mislead a decision.
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Service Design · 1 yearDeep user research across the 1mg patient–doctor ecosystem, then a redesign of e-consultation: a conversational platform that lets patients and doctors actually communicate. From insight to interaction, end to end.
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Data Viz · 8 monthsWith the Centre for Budget and Governance Accountability — visualizing five-dimensional state budget data and a portal that turns public budgets into stories anyone can read.
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System Design · 10 weeksWith TCS Digital Impact Square & MIT Media Lab — mapping the blood-bank system end to end and designing interventions for its most critical, life-or-death gaps.
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Data Viz · Honorable mentionTwo decades of the Sensex mapped against the events that moved it — published at IndiaHCI and exhibited at IEEE EuroVis.
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Data Viz · 4 weeksA narrative visualization of musicians who died at 27 — built so people discover their own stories in the data, and reflect on what it reveals.
Read the case study →My academic work focuses on human–AI interaction — how people form mental models of AI agents, the psychological dynamics of conversational AI, and how communities form online. Selected recent papers:
How do people build trust, mental models, and relationships with AI systems — and each other — on socio-technical platforms?
In-depth & cross-market interviews, diary studies, contextual and field research, usability — qualitative methods that surface what surveys miss.
Mixed-methods synthesis, mental-model mapping, and a researcher's eye for the pattern that actually changes the roadmap.
A designer's craft on top of research rigor: data visualization and storytelling that turn findings into decisions teams remember and act on.