About

Sai Krishnan Subramanian is an experienced software engineer with a passion for developing high-quality software solutions. With a demonstrated history of working in the computer software industry and software consulting, Sai is skilled in Java, JS, and Python programming languages. Currently working as a Software Engineer at Walmart, Sai has amassed a wealth of experience in software engineering, microservices, AWS, backend development, and user engagement data analysis. Sai's career began as a Software Dev Engineer Intern at Amazon, where he owned the end-to-end development of a cache management portal for Luna games. He designed the portal using Next.js and built the microservices backend using Kotlin, which included employing complex asynchronous S3 API logic to fetch/update cache manifest files, AWS Lambda microservices listening to SQS events, and DynamoDB to store metadata. Sai's experience at Amazon equipped him with the skills to take on more challenging roles, which led him to become a Technical Consultant at Adobe. Here, he worked on Adobe Experience Cloud solution-specific development and analysis for various clients, and internal product enhancements. He also customized and implemented Adobe Campaign architecture for clients, working on user engagement data analysis in marketing campaigns to improve customer acquisition. Sai has an impressive educational background, having completed a Bachelor's degree in Engineering from Vishveshwaraiah Technological University and is currently pursuing a Master's degree in Computer Science from the University of California, which he is set to complete in 2022. He also has a strong foundation in science, having completed his schooling at Ryan International School. Sai's technical skills include Software Engineering, Microservices, AWS, Javascript, Backend, Python, Java, and Kotlin. With 2.43 years of relevant experience, Sai is a talented software engineer who is passionate about developing innovative software solutions that meet the needs of clients and end-users alike.