Papers published: EMNLP-22 and AAAI-23 on adapting Text-to-SQL semantic parsers; ICASSP-2021 on ASR personalization for accented speakers; Interspeech 2021 on Keyword Spotting; ICLR 2020 on Learning from Rules Generalizing Labeled Exemplars; EMNLP 2019 on Parallel Iterative Edit (PIE) models; EMNLP-IJCNLP 2019 on Grammatical Error Correction. Awarded Google PhD Fellowship.
Research Experience
Interned twice at Google Research; worked as a Software Engineer in the GPS and Sensors team at Samsung Research Institute before joining IIT Bombay.
Education
PhD in Computer Science and Engineering from IIT Bombay, advised by Prof. Sunita Sarawagi; B.Tech. in Electronics and Electrical Communication Engineering from IIT Kharagpur, graduated in 2016.
Background
Research interests: data-efficient Natural Language and Speech Processing models, spanning applications like Semantic Parsing, Text Editing, Data Programming, Speech Recognition, and Keyword Spotting. Focus on structured prediction, compositional generalization, and weak supervision for learning with less data.