Three papers accepted at EMNLP-2025; one paper on 'Finding Needles in Images' accepted at ACL-2025 and received a Highlights award; one paper on Hybrid Graphs for Table-Text QA accepted at NAACL-2025; one paper on a training-free approach for 3D Scene Editing accepted at WACV-2025; one paper on improving annotation efficiency accepted at ICML workshops; one paper on adversarial robustness from a neural architecture search perspective accepted at the Adversarial Robustness in the Real World workshop at ICCV-21; served as a reviewer for multiple top conferences and journals such as ICLR, AAAI, WACV, NeurIPS, and IEEE Pattern Recognition Journal.
Research Experience
Currently a Researcher at Fujitsu Research India, leading a small team on GenAI research. Served as a Teaching Assistant at IIT-Hyderabad and as a mentor and coach with platforms like Udacity and UpGrad.
Education
Master’s by Research (M.Tech-RA) in Computer Science from IIT-Hyderabad, advised by Prof. Vineeth N Balasubramanian. Worked as a visiting researcher at the University of Toronto and Vector Institute, advised by Prof. Animesh Garg.
Background
AI Researcher focusing on Generative AI and related applications. Interested in problems with clear practical applications or purely exploratory endeavors that spark curiosity. Explored data-efficient learning techniques, including active learning, transfer learning, and multi-modal learning during his Master's. Currently, his work spans the broader spectrum of Generative AI, combining research insights with engineering to deliver useful solutions. Maintained a strong connection to education and teaching throughout his academic career.
Miscellany
Personal interests include education and teaching, having served as a Teaching Assistant at IIT-Hyderabad and as a mentor and coach with online education platforms like Udacity and UpGrad.