I am a computer scientist and product research leader bridging the gap between Human–Computer Interaction and AI. I lead teams that shape large-scale search experiences through rigorous qualitative and quantitative insights.
My work sits at the intersection of human behavior, large-scale systems, and practical product decisions. I focus on how people discover, interpret, and trust information in modern search experiences, especially as AI generated answers become a primary entry point.
Over the years I have led teams across industry to design research programs that are rigorous enough to publish and concrete enough to influence roadmaps, launch decisions, and product narratives.
My methodology blends qualitative and quantitative approaches — diary studies, in-depth interviews, and large-scale behavioral analysis often run in parallel on the same question. That combination is what lets findings hold up both in a research paper and in a product review.
My playground is the intersection of ambitious tech and massive market impact.
Google – AI Overviews and AI Mode
Leading research for core Google Search surfaces during one of the largest shifts in search behavior: the introduction of AI generated overviews and conversational experiences. Work spans user intent modeling, trust and safety considerations, cross-surface navigation, and the measurement of long-term impact.
Meta (Facebook)
Led research teams focused on feeds, integrity, and emerging product directions, with an emphasis on understanding how people create and consume content at scale while balancing engagement, well-being, and safety.
Salesforce
Directed research and analytics for enterprise products, integrating behavioral data with qualitative insights to guide strategy for complex, multi-stakeholder workflows.
Uber
Worked across rider, driver, and platform experiences during a period of rapid scale-up, focusing on matching, reliability, and marketplace design questions.
General Electric
Designed and built systems at the intersection of machine learning and industrial applications, contributing both research and production engineering.
University of California, Berkeley
Aug 2008 – May 2013
Dhirubhai Ambani Institute of ICT
Aug 2004 – May 2008
Outside of work I gravitate toward quiet but absorbing activities: hiking, photography, reading, and the occasional Xbox game session. These are the spaces where long-running ideas about systems, people, and products tend to connect.
Most days, the center of gravity is my family. I spend as much time as I can with my wife Devanshi, our kids Parth and Anya, and our dog Milo.
My brother Ambuj Tewari is a Professor in Statistics at the University of Michigan, Ann Arbor. Our conversations often jump between theory, applications, and what it means to build systems that people genuinely understand.
Reach me at anujtewari17@gmail.com