About

Shashwat Verma is an Applied Scientist at Amazon with over two years of experience in the field of machine learning. He specializes in artificial intelligence techniques such as computer vision and deep learning and has successfully applied them to solve complex problems in various industries including self-driving cars, warehouse robotics, and fashion. Shashwat's current role at Amazon involves working on neural network acceleration. Prior to this, he worked as an Applied Scientist Intern at Amazon where he was responsible for Perception for Robot Manipulation. He developed a novel method using computer vision techniques for predicting successful grasping points and trained it on simulated data before applying it to a real robotic station. He also developed a 3D physics simulator for generating training data for the proposed approach. His work demonstrated promising performance under a realistic experimental setup. Shashwat holds a Master of Science degree in Computer Science from Columbia University, where he specialized in machine learning. He also holds a Bachelor's degree in Mechanical Engineering from Birla Institute of Technology and Science, Pilani. Shashwat's technical expertise includes research scientist, machine learning, computer vision, deep learning, and neural networks. He has relevant experience of 3.78 years in the field of machine learning. Overall, Shashwat is a highly skilled and experienced Applied Scientist with a passion for solving complex problems using artificial intelligence techniques. He has a proven track record of success in the industry and is a valuable asset to any team.