Hi! Welcome to my webpage. I am a (n^th year) 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 IBM Fellowship for the year 2016-17. I was supported by the Siebel Scholarship for the year 2013-14 and was 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 and how they can be used to train an incremental learning system that learns grade-by-grade like children (I haven't been able to do so yet -- any ideas are welcome). 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 In a previous avatar, I used to also work on Network AnalysisYou can view my Publications or my (probably outdated) academic CV to get a more detailed idea of my work.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 on the Euclid project.

I have been/am a reviewer for conferences such as ICML 2016, ACL 2016, ACL 2015 and NIPS 2015.

Outside my research work, I am passionate about football (soccer), socio-tech startups and community service. I am an avid supporter of FC Barcelona. 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.