About

Sushant Agarwal is an experienced AI/ML/Edge R&D professional with expertise in Medical Image Analysis using AI. He is also a Mentor at MLH and a Software Engineer. Sushant has a strong background in working with edge devices like Raspberry Pie, NVIDIA Jetson Nano, and Intel Neural compute stick. He is passionate about deep learning and has a good command of Python, SQL, Deep Learning, and Computer Vision. Sushant has been a top performer in various national and international competitions and has published over 11 research papers in international journals in collaboration with renowned doctors. Sushant holds Udacity Nanodegrees in Deep Learning and Data Science, along with a Specialization in Artificial Intelligence for Medical Imaging. He is constantly learning and refining his skills to be a better person. Sushant's email address is sushant.ag09@gmail.com, and he can be found on Google Scholar, ORCiD, Sci Profiles, and PubMed. Currently, Sushant works as a Beta Tester at Coursera. Previously, he has worked as a Software Engineer at tech-netinc and as an ML Engineer at aftershoot. During his internship at aftershoot, Sushant worked on practical hands-on sessions followed by an internship project on Detection of Liver Cancer in WSI using NVIDIA DGX v100 GPU. Sushant has a Bachelor of Technology degree in Computer Science and Engineering from PSIT Kanpur (Pranveer Singh Institute of Technology). He also holds Data Scientist and Deep Learning Nanodegrees from Udacity. Sushant's tech stack includes AI, Software Engineer, Deep Learning, Computer Vision, ML, SQL, Python, Research Scientist, Data Scientist, Image Segmentation, TensorFlow, Docker, Flask, ResNet, Big Data, test, and Mobile. He has relevant experience of 2.28 years.