About

Shubham Sahu is a highly motivated and skilled Software Engineer with a passion for solving complex problems. He is currently pursuing his Master's degree in Computer Science at Stony Brook University, where he also works as a Research Assistant. Shubham has a strong background in Machine Learning and Reinforcement Learning algorithms and has been involved in developing 'Automatic Smart-Mirrors' that use reinforcement learning algorithms to optimize signal data. Shubham began his industry career at Glider Technologies as an Associate Software Engineer, where he was responsible for improving scalability by creating infrastructure to support on-demand AWS Fargate containers. He also helped to develop low-cost shareable containers to support multiple users in a single container scaling system by a factor of 1000. Shubham's expertise in Node.js and Docker allowed him to compose secure APIs, resolve UI and UX bugs, and contribute to large software system development. Shubham has also served as a Graduate Teaching Assistant at Stony Brook University, where he assisted Professor Ahmad Esmaili in the course CSE 214: Data Structures by solving students' queries and grading lab assignments and exams. Shubham holds a Bachelor's degree in Computer Engineering from Bhartiya Vidya Bhavans and has completed his H.S.C from Mithibai College. He is skilled in a wide range of technologies, including AWS, ML, infra, Docker, NodeJS, Javascript, ui, and Web. Shubham is always eager to learn more and take on new challenges. Overall, Shubham is a talented and driven Software Engineer with a passion for using his skills and knowledge to solve complex problems. His experience in both academia and industry makes him a valuable asset to any team.