Shabhareesh is a senior research engineer in the advertising science team. His current work is in the areas of representational learning and mutli view learning. In the past he has been part of Yahoos's supply platfrom (aka Flurry) where he has worked on initiatives like Device Finger Printing (Identity Mapping), App Install Attribution and Supply Optimization (Click and Conversion Prediction, Anomaly Detection). He holds a Bachelors degree in Electrical and Electronics Engineering from Vellore Institute Of Technology and University (2010), India, a Masters degree in Computer Science from University Of Illinois at Chicago (2013), United States. His research interests are broadly in areas of Machine learning, Natural Language Processing and Computer Vision with applications related to user modeling and advertising.

Research Areas: Advertising Science, Content Understanding, Data Science, Information Retrieval, Machine Learning, Natural Language & Dialogue Understanding, User Modeling and Personalization