I am currently investigating several aspects of LLMs to generate enterprise specific content. Before this, I worked on developing real-time fraud detection, text extraction and logo recognition services. Prior to joining Adobe, I did my Ph.D. at Carnegie Mellon University. I was fortunate to be advised by Prof. Beibei Li. During my Ph.D., I developed machine learning models to study the interplay between the value proposition and the trade-offs that come from understanding consumer behavior from location data. I studied trade-offs in data sharing between location data collectors and advertisers, explanations of anomalous consumer behavior, and also identified social determinants of health from location data. Before joining CMU, I spent two years with Adobe Research, where I developed methods for marketing attribution, click-stream purchase prediction. During my Ph.D., I spent two summers at Adobe working on click fraud detection, identifying critical events in the consumer purchase funnel, and summer at Amazon developing active learning methods for record linkage. I graduated top of my class in 2014 with a Bachelors and Masters in Mathematics and Computing at I.I.T. Kharagpur.