Dibyendu Chakrabarti serves as the Chief Scientist at a pioneering Generative AI startup, where he is at the forefront of democratizing access to large language models (LLMs). With a robust academic background, including two PhDs—one in Cryptography from the Indian Statistical Institute and another in...
Dibyendu Chakrabarti serves as the Chief Scientist at a pioneering Generative AI startup, where he is at the forefront of democratizing access to large language models (LLMs). With a robust academic background, including two PhDs—one in Cryptography from the Indian Statistical Institute and another in Applied Machine Learning—Dibyendu combines theoretical knowledge with practical expertise to drive innovation in AI technologies. His extensive research experience is underscored by numerous publications and citations, establishing him as a thought leader in the field.
In his current role, Dibyendu is leading key projects that focus on enhancing the accessibility and usability of LLMs for diverse applications. His work involves leveraging advanced techniques such as Zero-Knowledge Proofs and PLONK to ensure secure and efficient data handling, which is crucial in today’s data-driven landscape. His proficiency in machine learning, statistics, and big data technologies like Hadoop and Hive allows him to develop sophisticated models that can classify and analyze vast datasets, enabling organizations to derive actionable insights.
Dibyendu's contributions extend beyond research; he is an active editor and reviewer for prestigious journals and conferences, sharing his expertise with the global academic community. His presentations at international conferences and collaborations with foreign universities further highlight his commitment to advancing the field of AI. As he continues to push the boundaries of Generative AI, Dibyendu remains dedicated to fostering an inclusive environment where cutting-edge technology is accessible to all, ultimately shaping the future of AI applications across various industries.
