About

Devendra Chaplot is a highly accomplished Ph.D. student in the Machine Learning Department at Carnegie Mellon University. With a strong background in Computer Science and Engineering, he has dedicated his career to the intersection of Machine Learning, Computer Vision, and Robotics. Chaplot has a proven track record of leading the design of several AI systems, which have won prestigious awards such as the CVPR-2019 PointNav and CVPR-2020 ObjectNav Habitat Challenges, and the Visual-Doom AI Competition 2017. He has also received the Facebook Fellowship Award, and his research has been recognized with Best Paper and Best Demo awards at leading AI conferences. As an AI Research Scientist at Facebook, Chaplot continues to push the boundaries of AI research, focusing on the development of innovative solutions that can be applied to real-world problems. He has worked as a Research Intern at Facebook AI, where he gained valuable experience in the field, contributing to the development of cutting-edge AI systems. Chaplot's education history is impressive, having received his Doctor of Philosophy in Machine Learning from Carnegie Mellon University, a Master's Degree in Language Technologies from the same institution, and a Bachelor of Technology in Computer Science and Engineering from the Indian Institute of Technology, Bombay. His technical skills include expertise in AI, ML, Computer Vision, and Robotics, making him a highly sought-after professional in the field. Chaplot's research has been featured in several popular media outlets, including MIT Technology Review, TechCrunch, Engadget, Popular Science, Kotaku, and Daily Mail. Overall, Devendra Chaplot is a highly accomplished AI Research Scientist with a passion for developing innovative solutions that can be applied to real-world problems. His impressive academic and professional background, combined with his technical expertise, make him a valuable asset to any organization.