About

Aravind Rajeswaran is a highly skilled Research Scientist in AI with over 2.5 years of relevant experience. He has a strong background in mathematical foundations and applications of deep learning, and his current research focuses on leveraging learning and optimization to endow robots with a vast repertoire of skills. Aravind's expertise lies in deep reinforcement learning, model-based control, and meta-learning. He is currently working at Facebook AI, where he is involved in fundamental research in machine learning, reinforcement learning, and robotics. Prior to this, he worked as a Student Researcher at Google, where he conducted fundamental research in deep reinforcement learning applied to robotics. He also worked as a Research Intern at Google Brain, where he worked on model-based reinforcement learning (algorithms and theory) along with applications in robotics. Aravind holds a Doctor of Philosophy (Ph.D.) degree in Machine Learning from the University of Washington, where he completed his research in 2020. He also holds a Bachelor of Technology (BTech) degree with Honors in Systems Engineering from the Indian Institute of Technology, Madras, which he completed in 2015. Aravind is highly skilled in Research Scientist, AI, Reinforcement Learning, Deep Learning, and ML. He is passionate about applying his expertise to develop innovative solutions that push the boundaries of what is possible in the field of AI. He maintains a personal website where he shares his research and insights into the latest developments in the field. Overall, Aravind Rajeswaran is an accomplished Research Scientist in AI with a strong track record of success in fundamental research in machine learning, reinforcement learning, and robotics. His expertise and passion for innovation make him a valuable asset to any organization working in this field.