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Education

  • 2020 - Present
    PhD Computer Science
    University of California Irvine, USA
  • 2013 - 2018
    B.Tech. & M.Tech., Computer Science and Engineering
    Indian Institute of Technology Delhi

Research Experience

  • Sep '20 - Present
    Graduate Student Researcher
    University of California Irvine, USA
    • Working on improving the reasoning, in-context learning and systematic generalization capabilities of large language models.
  • Apr '24 - Present
    Research Intern
    Allen Institute for AI, Seattle, Washington
    • Joined the Aristo team. Mentored by Ben Bogin and Tushar Khot.
    • Working on improving Language Model Agents for complex long-trajectory tasks.
  • Jun - Sep '23
    Research Scientist Intern
    ASAPP Inc., New York, USA
    • Mentored by Ethan Elenberg and Clemens Rosenbaum.
    • Developed a novel approach for retrieving examples for In-Context Learning with LLMs yielding state-of-the-art performance on a wide variety of tasks.
  • Jun - Sep '22
    Applied Scientist Intern
    Amazon Alexa AI, Sunnyvale, USA
    • Joined the Web Information team. Mentored by Yoshitomo Matsubara.
    • Developed a novel Cross-Lingual Knowledge Distillation approach that improved Answer Sentence Selection (AS2) models for low-resource languages lacking labeled data.
  • Oct '18 - Jul '20
    Applied Research Engineer - Machine Learning
    LinkedIn, Bangalore, India
    • Worked as a Research Fellow at Microsoft Research India on improving LinkedIn's Job Recommendation pipeline using Extreme Multi-label Classification algorithms.

Engineering Experience

  • May - Jul '17
    Software Development Engineering Intern
    Amazon, Delhi, India
    • Joined the Last Mile Technology team.
    • Enabled the externalization of Amazon's Last Mile Package Delivery technology.
  • May - Jul '16
    Software Development Engineering Intern
    Amazon, Bangalore, India
    • Joined the Machine Learning - Seller Service team.
    • Developed pipeline abstractions for PySpark to enable rapid prototyping of machine learning algorithms.

Teaching Experience

  • Jan '23 - Mar '23
    Teaching Assistant
    University of California Irvine, USA
    • Teaching Assistant for the Probabilistic Learning: Theory and Algorithms course.
  • Apr '22 - Jun '22
    Teaching Assistant
    University of California Irvine, USA
    • Teaching Assistant for the Natural Language Processing course.
  • Jul '17 - May '18
    Teaching Assistant
    IIT Delhi, India
    • Teaching Assistant for three courses: Data Structures, Programming Languages and Artificial Intelligence.

Awards and Achievements

  • 2024
    • Best Paper Award. NAACL-SRW 2024
  • 2017
    • Outstanding Contribution Award. Training & Placement Cell, IIT Delhi
  • 2015
    • Summer Undergraduate Research Award. Industrial Research & Development Unit, IIT Delhi.
  • 2013
    • All-India-Rank of 189 in IIT-JEE Advanced among over 150,000 candidates.
    • Kishore Vaigyanik Protsahan Yojana Scholarship. Department of Science & Technology, Government of India.

Service

  • Program Committee Member. AI & Scientific Discovery Workshop at NAACL 2025
  • Reviewer. ACL Rolling Review (ARR), LREC-COLING 2024
  • Student Volunteer. EMNLP 2021, EMNLP 2022
  • Technical Team Leader. Training & Placements Cell, 2015-17
  • Technical Coordinator. ACM Student Chapter, 2014-2015

Invited Talks

  • Example Selection for In-Context Learning. IBM Research (2023), USC ISI-NLG (2024).
  • Neural Model for Question Answering on Wikipedia Tables. Microsoft Research India (2017).

Skills

  • Languages: Python, C/C++, Java, Bash, Scala, LaTeX
  • Libraries/Frameworks: PyTorch, Transformers, etc.