About

Gautam Gare is a highly skilled Ph.D. student at the Robotics Institute, CMU, with a passion for computer vision and deep learning. He is currently working as a Computer Vision Research Intern at dawnlight, where he is conducting research on Human Action recognition in medical and assisted living setups. Gautam has a strong academic background, having completed his Master's degree in Electrical and Computer Engineering at CMU in December 2020 and obtaining a Bachelor of Engineering Degree in Electronics and Communications Engineering from B. M. S. College of Engineering, India. Gautam's research interests are in the area of Computer Vision and Deep Learning, with a focus on Video Understanding targeting both natural and medical image domains. He has a wealth of experience in this field, having previously worked as a Research Associate at Carnegie Mellon University, where he conducted research on video understanding and tracking at the Image Science Lab. Gautam has also worked at Sling Media as a Senior Data Scientist, where he was part of the team that analyzed customer trends and predicted the churn rate with an accuracy of 85%. Gautam has a strong technical skill set, including expertise in Computer Vision, Deep Learning, Video Understanding, Machine Learning, Image Processing, PyTorch, Python, Java, C++, and MATLAB. He is a highly motivated individual with a proven track record of success, having relevant experience of 4.59 years. Gautam's educational background, technical skills, and research experience make him a valuable asset to any organization.