Aditya Pisupati
Bengaluru, Karnataka,India
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Aditya Pisupati is a Research Scientist at Google AI (formerly Google Brain). His research primarily focuses on reinforcement learning, decision-making under uncertainty, multi-agent systems, and the application of these concepts to robotics and large language models. He is interested in developing algorithms that enable intelligent agents to learn complex behaviors, generalize to new situations, and interact safely and effectively in real-world environments. Aditya completed his PhD in Computer Science from Stanford University, where his work centered on reinforcement learning for robotics, and his B.Tech in Computer Science from IIIT Hyderabad. His contributions often involve theoretical advancements as well as practical applications in complex domains.
Professional Summary
Aditya Pisupati's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
PhD in Computer Science from Stanford University
Completed doctoral studies at Stanford University, advised by Prof. Jeannette Bohg and Prof. Shuran Song, focusing on reinforcement learning for robust robotic manipulation and generalizable decision-making.
Research Scientist at Google AI
Conducting cutting-edge research in artificial intelligence, with a focus on reinforcement learning, multi-agent systems, and their applications in areas like robotics and large language models. Contributes to projects aiming to build more capable and general AI systems.
Publications in Top-Tier AI/ML Conferences
Authored and co-authored numerous research papers presented at prestigious international conferences such as NeurIPS (Neural Information Processing Systems), ICML (International Conference on Machine Learning), CoRL (Conference on Robot Learning), and ICLR (International Conference on Learning Representations).
Research Contributions in Reinforcement Learning and Robotics
Developed novel algorithms and frameworks for improving sample efficiency, generalization, and safety in reinforcement learning, with significant applications in robotic control and manipulation tasks.
Educational Background
MBA, Sales and Marketing
University of Hyderabad - Year 2003
BTech, Chemical
Jawaharlal Nehru Technological University - Year 1998
Jhonson Grammar School - Year 1989
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Company Overview
VINGVING is a digital engagement platform designed to help organizations improve communication, training, and compliance. It allows users to create, share, and track interactive microlearning content, safety information, HR updates, and other critical communications with their workforce or external stakeholders, providing analytics on engagement and comprehension.
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