Hi! Welcome to my webpage. I am a PhD candidate in the Machine Learning Department, School of Computer Science at Carnegie Mellon University. Prof. Eric Xing is my adviser. 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 work on Network Analysis. You can view my publications to get a more definitive idea of my work.

I spent my undergraduate years at Indian Institute of Technology (IIT), Kanpur, where I graduated 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 team. 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. I regularly review for top ML and NLP conferences.

Besides my research, I am passionate about sports (football -- read soccer ;-) , tennis, squash), 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 (contemporary, instrumental, indian classical, sufi, ghazals, electro, etc.) and travel around the world.


I am co-presenting a tutorial: "Standardized Tests as Benchmarks for AI" with Minjoon Seo, Hannaneh Hajishirzi and Eric P. Xing at EMNLP 2018. Details will be out soon; please consider attending!