Hi! Welcome to my webpage. I am a PhD student in the Machine Learning DepartmentSchool of Computer Science at Carnegie Mellon University. Prof. Eric Xing is my adviser. I also closely work with Prof. Eduard Hovy. I am fortunate to be supported by the CMLH Fellowship for the year 2017-18. I was supported by the IBM Fellowship for the year 2016-17 and the Siebel Scholarship for the year 2013-14. I was also a finalist for the Facebook Fellowship in 2014-15.

My work focuses on Natural Language Understanding, in particular on building automated solvers for standardized tests (think SAT, GRE, TOEFL, etc.) using instructional material. I also love other problems in NLP, Structured Prediction and Statistical Machine Learning. In a previous avatar, I used to also work on Network AnalysisYou can view my Publications or my (probably outdated) academic CV to get a more detailed idea of my work. My undergraduate years were spent in Indian Institute of Technology (IIT), Kanpur from where I graduated in 2010 with a B.Tech. in Computer Science and Engineering. I worked with the Information Management group at IBM Research India from 2010-12. I spent a fantastic summer in 2014 at the Machine Learning Group at Microsoft Research, Redmond where I worked on Machine Comprehension with Dr. Matthew Richardson. This work was selected as one of the outstanding papers at the ACL 2015 conference. I also spent a fantastic summer in 2016 at the Allen Institute of AI where I worked with the Euclid teamI regularly review for top ML and NLP conferences such as ICML, NIPS and ACL.

Outside my research work, I am passionate about football (soccer), socio-tech startups and community service. I am a Facebook junkie, a Youtube stress tester and a movie and music leacher.  I like to listen to music (indian classical, sufi, ghazals, etc.) and travel around the world.