About

Sanket Gujar is a highly skilled Perception Software Engineer at Sense Photonics with over 4 years of relevant experience in the autonomous vehicle industry. He specializes in developing and implementing 3D perception models for autonomous vehicles, with a focus on LiDAR technology. Sanket holds a Master of Science degree in Computer Science from Worcester Polytechnic Institute, where he developed a novel neural architecture for pointwise and instance segmentation of 3D point clouds for autonomous vehicles. He also completed credit-directed research in Inverse Reinforcement Learning. Additionally, Sanket is an alumnus of Udacity's Self-Driving Car Nanodegree program. Prior to joining Sense Photonics, Sanket worked as a Machine Learning Software Engineer at Innovusion, where he worked on research and development of state-of-the-art LiDAR perception algorithms. He also developed and deployed a vehicle detection model with an inference time of 10 ms using Innovusion SDK. Sanket also worked on reducing the inference time and model size of the above model for deployment. Sanket's passion and curiosity for Deep Learning, Deep Reinforcement Learning, and Self-Driving Cars make him eminently qualified for a career in the autonomous vehicle industry. He has won a Defense National Hackathon for detecting and classifying vehicles in aerial images and ranked among the top 100 in a Kaggle competition. Sanket's tech stack includes Software Engineering, Reinforcement Learning, Machine Learning, Research Science, Deep Learning, and Spring. He is a teaching assistant at Worcester Polytechnic Institute for courses such as Artificial Intelligence and Algorithms. Sanket's LinkedIn profile showcases his expertise in autonomous vehicles, his education history, and his past work experience. He is always looking for new challenges and opportunities to grow in his career. You can find more about him on his personal website at sanketgujar.github.io.