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I'm currently an Applied Science Manager at Qualtrics in Seattle, leading a team of ML scientists conducting research and development of AI/NLP techniques for a variety of AI problems -- building search, modeling conversations, performing sentiment analysis, summarizing text, and many other language understanding and processing tasks -- all aimed towards bringing greater intelligence to the company’s experience management platform XM that helps thousands of its enterprise customers for better decision making.

Broadly speaking, my interest lies in Machine Learning (ML) and applied problems within Natural Language Processing (NLP), Search, Recommendation, Personalization and other such relevant areas.

Prior to joining Qualtrics, I was a Sr. Applied Scientist and a Tech Lead Manager at Amazon in a team named Product Graph, whereby I developed multiple web-scale information extraction methods to build an authoritative knowledge base used by Amazon Retail and Alexa.

Before embarking on my full-time career, I graduated with a Ph.D. in Computer Science from the School of Informatics and Computing, Indiana University Bloomington (IUB). At IUB, my dissertation work was focused on the design of ML methods for fact checking of simple statements that can be expressed as (subject, predicate, object) triplets such as (Olympia, capital_of, Washington) by mining background knowledge bases such as DBpedia. I was advised and supported by Prof. Fil Menczer and Prof. Alessandro Flammini and members in the NaN group at IUB.

I was also a Programmer Analyst at Transamerica Capital Management (TCM) in Cedar Rapids, IA, and an Application Developer at ITS-Enterprise Services in the University of Iowa, before pursuing my Ph.D. 

More information about my work experience or education can be found here.