About

Shreyas Anantha Ramaprasad is a highly motivated and passionate Computer Science graduate student at UC San Diego. With a strong foundation in computer science fundamentals and experience in Machine Learning, IoT, and Application Development projects, he is currently pursuing his master's in Computer Science and exploring the various domains of Artificial Intelligence. Shreyas has a keen interest in building robust software systems and has gained valuable experience as a Consulting Engineer at Cisco, where he learned about the deployment of networks in production. He is currently working as a Teaching Assistant at UC San Diego for CSE 151B - Deep Learning, where he is responsible for assisting students with their coursework and providing guidance on the subject matter. Shreyas is a quick learner and has a strong desire to continue learning and solving complex problems in the field of computer science. He is seeking new grad roles for 2023 and is open to connecting with professionals in the industry. He is highly proficient in ML, Deep Learning, Python, Kubernetes, Elastic Search, AWS, Sagemaker, CNN, and Pytorch. With 1.52 years of relevant experience, Shreyas is a dedicated and hardworking individual who is committed to achieving his goals. He is an excellent team player and has worked as a Teaching Assistant for CSE 123 - Computer Networks and as a Software Engineering Intern at Red Hat, where he improved the resiliency of customer applications by adding two new features to Krkn, an open-source Chaos engineering tool for Kubernetes and OpenShift. Overall, Shreyas Anantha Ramaprasad is a highly skilled and motivated individual with a passion for computer science and a desire to continue learning and solving complex problems in the field.