Multilingual
NLP
Language technology designed to work beyond high-resource settings.
Multilingual AI researcher
I work on multilingual foundation models, retrieval, and machine translation—with a focus on making language technology useful for Indian and other low-resource languages.
My research sits at the intersection of multilingual NLP, information retrieval, large language models, and machine translation. I build reliable systems that help people discover, understand, and use information in the language that works for them.
Browse publications02 / Focus areas
From representation learning to retrieval and reasoning, these themes connect my work.
Language technology designed to work beyond high-resource settings.
Foundation models that are capable, efficient, and aligned.
Finding the right knowledge across languages and collections.
Making translation more capable for low-resource language pairs.
Tools that support more personal and accessible learning.
Advancing robust language technology for Indian languages.
03 / Featured research
Multilingual NLP · Translation
Building stronger translation systems for Indian languages, especially in low-resource settings.
ExploreBenchmarks · Embeddings
Better ways to evaluate multilingual retrieval and embedding models for Indian languages.
ExploreFoundation models
Efficient training, adaptation, and alignment for language models in diverse settings.
Related workRetrieval · Reasoning
Systems that connect questions with dependable information, regardless of language.
Related work04 / Selected research
Multilingual NLP · Retrieval
Improving how systems transfer knowledge across languages.
Foundation models · Indic AI
Methods and resources for low-resource and Indian languages.
Multilingual NLP · Machine Translation
Improving cross-lingual transfer and translation quality across diverse language pairs.
05 / Recent news
Joined Bodhan.ai as Senior Research Scientist.
Working on Granite 4.0 Indic Language Capability.