Nandan Thakur is a researcher, known for his work on BEIR, MIRACL, and realistic RAG evaluation. He is a prominent voice on how retrieval quality gets measured and has published papers on evaluation and benchmarks.
Nandan Thakur consistently pushes the angle of making research and technology accessible and relevant to diverse languages and settings. Nandan Thakur does this by sharing concrete examples from his own research and experiences, such as the introduction of the MAST project, which aims to evaluate multilingual retrieval and reasoning systems. Nandan Thakur's distinctive voice is characterized by his ability to balance personal stories with technical details, making his content more engaging and relatable.
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