Mayank Agarwal
Scholar

Mayank Agarwal

Google Scholar ID: tTbrpgoAAAAJ
Senior Research Engineer, IBM Research
large language modelstool-useinstruction tuning
Citations & Impact
All-time
Citations
2,361
 
H-index
17
 
i10-index
24
 
Publications
20
 
Co-authors
15
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published at various Machine Learning conferences, worked on open-source software, and regularly reviews for ML conferences. Received Outstanding Reviewer Award (top 8%) at NeurIPS 2021, and IBM Outstanding Technical Achievement Award for contributions to Enterprise-Strength Federated Learning for Hybrid Cloud and Edge.
Research Experience
  • Works at IBM Research focusing on Federated Learning, Generative Modeling, AI for Code, and Individual Fairness.
Education
  • Masters in Computer Science from the University of Massachusetts Amherst in 2018; Bachelors in Electrical Engineering from Visvesvaraya National Institute of Technology, Nagpur.
Background
  • Senior Research Engineer at IBM Research. Main research interests include Federated Learning, Generative Modeling, AI for Code, and Individual Fairness.