About

Shirsendu H. is a talented Computer Vision and Machine Learning professional currently employed at Apple. He holds a Master of Science (Research) in Robotics from Carnegie Mellon University and a Bachelor of Technology in Computer Science from the Indian Institute of Technology, Roorkee. Shirsendu's research at CMU is co-advised by Prof. Ioannis Gkioulekas and Prof. Matthew O'Toole, and focuses on computational photography, physics-based vision, and optics. He has theoretical and practical experience in imaging optics, sensors, machine learning, and deep neural networks. Before joining Apple, Shirsendu collaborated with Lockheed Martin Corporation as a Research Collaborator, working on research projects in collaboration with CMU. He also worked as a Research Intern at Université Laval, where he focused on improving autonomous vehicles' computer vision tasks like object detection, semantic segmentation, and depth estimation in dynamic degraded conditions like rain and fog. Shirsendu is well-versed in a variety of technologies, including Computer Vision, ML, Research Scientist, Neural Networks, and Object detection. With almost two years of relevant experience, he has proven to be a valuable asset to any team he is a part of. Shirsendu's expertise in the field of Computer Vision and Machine Learning makes him a sought-after professional in the industry.