About

Amitabh Das is a highly skilled Software Development Engineer (SDE) at AWS Aurora Storage, with over 5 years of relevant experience. He holds a Master's degree in Computer Science from Arizona State University, where he specialized in Database Internals and High-Performance Computing. His thesis on High-Performance Model Serving from Relational Databases has been accepted in VLDB Vol. 14, No. 8. Amitabh has a strong background in System Software Development, having developed systems from the ground up and enhanced large and complex, fault-tolerant, and distributed systems using C, C++, Python, and Node.js. He is particularly interested in Database internals, Storage engines, Operating Systems, and Distributed Systems. Amitabh's technical skills include expertise in languages such as C, C++, Python, Golang, Java, Scala, Javascript, SQL, and Bash, as well as tools like Git, Apache Spark, Protocol Buffers, Hadoop, MySQL, MongoDB, Postgres, Docker, and NodeJS. He has also completed coursework in Multimedia and Web Databases, High-Performance Computing, Database Management System Implementation, and Data Processing at Scale. Prior to joining AWS, Amitabh worked as a Graduate Services Assistant at the Ira A. Fulton Schools of Engineering at Arizona State University, where he worked on High-Performance Model Serving from Relational Databases under Prof. Jia Zou. He also served as a Project Advisor for students in CSE 412: Database Management. Amitabh has also worked as a Software Development Engineer Intern at Amazon, where he built a modular service to aggregate product details and its variations, improving customer purchase experience. Amitabh's education history includes a Master of Science degree in Computer Science from Arizona State University and a Bachelor's degree in Information Science/Studies from B.M.S. College of Engineering. He also completed his Pre-University Boards in Electronics from CMR. Amitabh's tech stack includes Software Engineering, AWS, Web, Javascript, SQL, Spark, NodeJS, Python, Docker, Research Science, MySQL, MongoDB, Hadoop, Postgres, and Big Data. His expertise and experience make him a valuable asset to any team working on complex software systems.