I am a Research Fellow in the School of Computer Science at the University of Birmingham, Dubai, in the AI for Healthcare domain as part of the KAMAL Health project. My research explores how large language models (LLMs) and multimodal AI can be applied to healthcare decision-making, patient support, and accessibility in multilingual contexts.

I am also a Senior Student Research Associate at BharatGen, contributing to the development of foundation models, datasets, and responsible AI systems for Indian languages and domains, with a particular focus on Legal AI, with an emphasis on creating interpretable, real-world solutions that empower legal understanding and transparency.

I completed my Ph.D. in the Department of Computer Science and Engineering at IIT Kanpur (under the supervision of Prof. Arnab Bhattacharya). My doctoral research focused on Legal NLP, where I introduced benchmark tasks such as Court Judgment Prediction and Explanation (CJPE), built large-scale datasets like ILDC, NyayaAnumana, and TathyaNyaya, and developed fine-tuned domain-specific LLMs, including InLegalLLaMA, FactLegalLLaMA, and RhetoricLLaMA. My work has been published at premier venues such as ACL, EMNLP, NAACL, and COLING, and open-sourced through BharatGen and L-NLProc on HuggingFace.

I am also a recipient of the prestigious DAAD Postdoc-NeT-AI Fellowship (Germany), which supports global collaboration and research exchange in trustworthy and explainable AI.

Before joining IIT Kanpur, I worked at the Aeronautical Development Agency (ADA) under the Ministry of Defence, where I contributed to real-time software optimization for avionics and weapon systems.

I completed my M.Tech. in Computer Science and Engineering from Indian Institute of Engineering Science and Technology (IIEST) Shibpur, where I worked with Prof. Saptarshi Ghosh on my thesis titled “Solving the Heavy Hitters Problem for Streaming Data.” I also hold a B.E. in Information Technology from RGPV Bhopal.