The Allen Institute for Artifical Intelligence (AI2), Seattle
2023 - Present
Research Scientist at Team Aristo.
Prev: Research Intern with Peter Clark, Bhavana Dalvi, and Oyvind Tafjord.

Devloping communicative and interactive language agents.

Facebook AI Research, New York
Summer, 2021
Research Intern with Y-Lan Boureau and Asli Celikyilmaz at NLP and Conv AI team

Devloping personalized, commonsensical, and empathetic dialog systems.

Microsoft Research, Redmond
Summer, 2020
Research Intern with Sudha Rao and Michel Galley at Natural Language Processing Group.

Developed a novel framework that estimates missing 'local' information from the knowledge of a closed-world to generate a useful clarification question. Our work got accepted as a long paper in NAACL '21.

Amazon Alexa Prize
2019-2020
Team Leader of Bernard, UC San Diego
Media Coverage: cnet

Building free-form social conversational agent as a finalist in the Amazon Alexa Prize Challenge 2019-20 along with 9 other finalist universities. We were awarded $250,000 to research on dialog systems.

Google AI, Mountain View
Summer, 2019
Research Intern with Sandeep Tata and Navneet Potti from Team Juicer.
Media Coverage: Google AI blog, Google Engineering Newsletter (Intern Spotlight)

Developed an Information Extraction Framework for form-like documents using representation learning. The work was published as an Intern spotlight article in the Google-wide Newsletter and is being integrated with Google Cloud's Document AI. Our work got accepted as a long paper in ACL '20.

Walmart Labs
2017-2018
Research Engineer

Developed a neural multimodal attribute tagging framework to improve faceted product using both product description and product images. The work produced 2 US patents and one technical report published in arXiv. Other works on user modeling and product embeddings also have been patented.

• Session Chair: EMNLP 2023, AAAI 2022
• Senior Program Committee: AAAI 2023, EMNLP 2023, AAAI 2022
• Program Committee: EMNLP 2022, NAACL 2022, ACL 2022, ICML 2022, NeurIPS 2021, EMNLP 2021, ACL 2021, ICML 2021, AACL-IJCNLP 2020, ICML 2020, INLG 2019
• Co-PI for REU site project at UCSD for mentoring undergrads from local community college and low-income groups
• Volunteer at ICML 2022
• Co-organizer of 7th Workshop on Representation Learning for NLP (RepL4NLP) at ACL 2022 (Dublin)
• Co-organizer of Workshop on Commonsense Representation and Reasoning (CSRR) at ACL 2022 (Dublin)
• Organizer and PC member of SoCal Machine Learning Symposium, 2020 at UCSD

• Zhouhang Xie, PhD CSE @ UCSD (Intern, Ai2)
• Farhan Samir, PhD CSE @ UBC (Intern, Ai2)
• Dhruv Agarwal, PhD CSE @ UMass-Amherst
• Kolby Nottingham, PhD CSE @ UCI (Intern, Ai2)
• Zexue He, PhD CSE @ UCSD
• Manish Borthakur, Math @ IIT Delhi
• Shivam Lakhotia, MS, CSE @ UCSD
• Kunal Jain, MS, CSE @ UCSD
• Maximilian Halvax and Tatum Maston, Undergraduate, HDSI @ UCSD, as a part of HDSI scholar program

PhD, Computer Science and Engineering
University of California, San Diego
2018-2023

Thesis: User-centric Natural Language Processing
PhD Committee: Julian McAuley (Chair), UC San Diego, Taylor Berg-Kirkpatrick, UC San Diego, Gary Cottrell, UC San Diego, Lawrance Saul, UC San Diego, Sameer Singh, UC Irvine, Arya Mazumder, UC San Diego.

MS, Computer Science and Engineering
University of California, San Diego
2018-2020

CGPA: 4.0; Courses: Intro to NLP, Data Mining, Program Synthesis, Deep Learning for Sequences, Probabilistic Reasoning, Intro to Computer Vision, Convex Optimization, Human-centered Programming

MS, Data Science and Machine Learning
Indian Institute of Technology, Kharagpur
2015-2017

Summa cum laude (Gold Medalist); Advised by Prof. Animesh Mukherjee as a part of CNeRG lab. Courses: Algorithms, Intro to ML, Multivariate Analysis, Complex Networks, Information Retrieval