Vamshi Krishna Sai Nagabandi
About Vamshi Krishna Sai Nagabandi
Vamshi Krishna Sai Nagabandi is a Full Stack Engineer currently employed at FINRA, where he has developed the Periscope application to aggregate data insights. He holds a Bachelor of Engineering in Information Technology and a Master of Science in Computer Science, and has experience in various roles including teaching assistant and software developer.
Work at FINRA
Currently, Vamshi Krishna Sai Nagabandi serves as a Full Stack Engineer at FINRA, a position he has held since 2020. In this role, he developed and managed an application called Periscope, which aggregates various data sources to provide insights. His work involves utilizing technologies such as Angular and Node. Prior to this role, he worked as a Software Developer In Test at FINRA for six months in 2019, where he implemented REST APIs using OpenAPI specifications and conducted testing with Mocha and Chai.
Education and Expertise
Vamshi Krishna Sai Nagabandi holds a Bachelor of Engineering (B.E.) in Information Technology from Vasavi College of Engineering, where he studied from 2013 to 2017. He furthered his education by obtaining a Master of Science (MS) in Computer Science from the University of Maryland Baltimore County, completing his studies from 2017 to 2019. Additionally, he participated in the Technology Entrepreneurship Program at the Indian School of Business from 2015 to 2016, focusing on entrepreneurial studies.
Background
Vamshi Krishna Sai Nagabandi has a diverse background in software development and engineering. He began his career as a Graduate Assistant at the University of Maryland Baltimore County in 2017 for three months. He later served as a Graduate Teaching Assistant from 2018 to 2019 for one year. His early experience includes an internship as a Full Stack Developer at Affine Finance in 2018, where he worked for one month in Sunnyvale, California.
Technical Skills and Projects
Vamshi Krishna Sai Nagabandi possesses a range of technical skills, particularly in cloud computing and data management. He has implemented event-driven caching using AWS services such as SNS, SQS, Lambdas, and S3. He has experience with AWS Athena for data querying operations, managing large datasets by integrating with Hive metastore. He also maintains various AWS services including ECS Fargate, DynamoDB, and Security Groups, utilizing CloudFormation and Groovy scripts. Additionally, he is currently working on an internal pet project that aims to create a platform similar to StackExchange for employee interaction.