Ratish Surendran Puduppully

Ratish Surendran Puduppully is an Assistant Professor in the Department of Data Science at the IT University of Copenhagen. His research focuses on natural language processing (NLP), machine translation, and large language models with particular emphasis on multilingual systems and low-resource languages. He has published extensively since 2014, with over 20 peer-reviewed works in top conferences like ACL and NeurIPS.

Key research themes include adapter efficiency analysis, Hindi instruction-tuned LLMs (Airavata), zero-shot MT evaluation for Indian languages, and bidirectional state space models (Hydra). His work bridges theoretical advancements in neural architectures with practical applications in multilingual contexts.

Collaborations span international teams addressing challenges in computational linguistics and cross-lingual AI systems. Publications emphasize open access and have been cited over 6 times with significant reader engagement (12+).