About

Akshunn Jindal is a highly motivated individual with a passion for creating innovative solutions based on first principles. He has a strong academic background in Electrical Engineering from the Indian Institute of Technology, Delhi and is currently pursuing a Master's degree in Computer Vision at Carnegie Mellon University. Akshunn has always pushed himself to learn and grow, as evidenced by his decision to take Intro to ML for PhDs at CMU instead of the recommended course for Masters students. He has also been a TA for Advanced Machine Learning (10716) at CMU, a course he had not taken before, and has pursued a minor degree in Computer Science alongside his Electrical Engineering degree. Akshunn has a knack for learning new fields and producing results quickly. He has worked on 3D reconstruction for occlusion and SLAM enhancements on top of ARCore with no prior experience in 3D geometry. He has also worked on lossy multimedia compression with ML despite limited experience in the field. Currently, he is taking Learning for 3D vision at CMU under Professor Tulsiani, where he is studying differentiable rendering using Pytorch3d, shape prediction, NeRF, NeRS, light fields, and other related topics. Akshunn is adept at developing creative, out-of-the-box solutions to complex problems. For instance, he proposed a novel training regime that can work on any 3D reconstruction algorithm for his 16889 course project, and a CVPR paper is on the way. He has also cleared the SWC expert test in his second attempt, a test that requires a lot of out-of-the-box creativity in algorithm design. At the time, only 6 out of 3000 Bangalore employees had cleared it. Currently, Akshunn is a Software Engineer Intern at Samsung, where he has previously worked as a Software Engineer and Senior Software Engineer. He has relevant experience in Computer Vision, ML, research, and mobile development, and has won the Samsung Citizen Award for his contributions to areas of research, patents, publications, building creative culture, and enhancing the software development ecosystem.