IIIT, Hyderabad (2014-Present)
I am an M.S. student in IIIT Hyderabad, India. I am interested in Machine Learning, Deep Learning, Natural Language Processing, Information Retrieval and Data Mining. My resume can be reached here. My thesis can be reached here.
Doing research for its fun quotient.
European Conference on Information Retrieval (ECIR), Aberdeen, Scotland, 2017
NIPS Workshop on Interpretable ML for Complex Systems, Barcelona, Spain, 2016
Special Interest Group on Information Retrieval (SIGIR), Pisa, Italy, 2016
International World Wide Web Conference (WWW), Montreal, Canada, 2016
Worked with the model proposed in JMLR'16 paper entitled ''Domain-Adversarial Training of Neural Networks''. Used techniques such as source-segregation, active learning, pro-active learning and online learning to improve the model. Evaluated the extended model for Sentiment Analysis task on Amazon Movie Reviews. (May'16 - Aug'16)
Supporting ongoing govt. funded research project 'Cross Lingual Information Access'. Working on projects such as 'Tweet2Vec', 'Author2Vec' and 'Doc2Sent2Vec'. Presented 'CLIA' and 'Author2Vec' to public on IIIT R&D Showcase 2015, 2016 respectively. (Jan'15 - Present)
Mentored 5 teams to apply Deep Learning on problems related to Information Retrieval. Hosted a lecture on 'Word2Vec'. (Jan'16 - Apr'16)
Mentored 11 teams to apply Deep Learning on problems related to Data Mining. (Aug'15 - Dec'15)
Created a single page application that gives single point access to databases from all the HP Enterprise Stacks. Armed with options to get the consolidated view of all the shards, run batch of queries in minimal number of clicks, export data in popular formats and generate interactive graphs out of live data. (Aug'13 -Jul'14)
Received travel award from Cornell University to attend NIPS 2016 Conference.
Received SIGIR Donald B. Crouch Travel Grant to present 'Doc2Sent2Vec' at SIGIR 2016 Conference.
Received Microsoft Research India Travel Grant to present 'Author2Vec' at WWW 2016 Conference.
Received NVIDIA Hardware Grant (Tesla K40 GPU card) by submitting a research proposal (2015).