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Sudipta Sengupta is currently at Amazon AWS where he is leading new initiatives in Artificial Intelligence/ Machine Learning/ Deep Learning across AWS AI, Databases & Analytics, and EC2/ Annapurna, including hardware (CPU/ GPU/ ASIC - Tranium/ Inferentia/ Elastic Inference), ML frameworks (Tensorflow/ PyTorch) and compilers (Neuron/ Neo), ML services (SageMaker), AI services (Vision/ Languages/ Speech), enterprise semantic search (Kendra), ML capabilities in databases (Aurora ML/ Athena ML/ Redshift ML), and natural language based interfaces for querying data (QuickSight Q).
Sudipta has a 25-year record of sustained contributions to research and development in Computer Science. He brings together a hybrid blend of expertise from industry, research labs, and academia. He has caught early trends in artificial intelligence, computer systems, data management, storage, and networking by starting multiple research projects in these areas that have gone beyond advancing the state-of-the-art in Computer Science. To this end, he has initiated partnerships with engineering groups (in the companies he has worked in) through deep, multi-year engagements and shipped his research in many industry leading, award winning products and services. By successfully formulating and executing this end-to-end approach to research, he has ultimately influenced industry thinking and practice in his areas of work.
Sudipta has a 25-year record of sustained contributions to research and development in Computer Science. He brings together a hybrid blend of expertise from industry, research labs, and academia. He has caught early trends in artificial intelligence, computer systems, data management, storage, and networking by starting multiple research projects in these areas that have gone beyond advancing the state-of-the-art in Computer Science. To this end, he has initiated partnerships with engineering groups (in the companies he has worked in) through deep, multi-year engagements and shipped his research in many industry leading, award winning products and services. By successfully formulating and executing this end-to-end approach to research, he has ultimately influenced industry thinking and practice in his areas of work.
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