Ragesh Rajagopalan

Ragesh Rajagopalan has diverse work experience in the software engineering field. Ragesh currently holds the position of Software Engineer at StarTree since December 2022. Prior to that, they worked for Amazon Web Services (AWS) as a Software Development Engineer from July 2019 to December 2022.

Before joining AWS, Ragesh was a Senior Software Engineer at LinkedIn from February 2014 to October 2018. During their time at LinkedIn, they played a key role in reducing engineers' time to ship through the development and implementation of grid operational intelligence. Ragesh also made contributions to open-source BigData projects such as Dr. Elephant and Azkaban.

Prior to LinkedIn, Ragesh served as a Project Lead at D. E. Shaw & Co. from April 2010 to January 2014. In this role, they developed a web-driver based automation suite for pre-trade data analysis, which was critical for traders' decision-making. Ragesh also managed a team of engineers and collaborated with stakeholders across trading domains.

Earlier in their career, Ragesh worked as a Quality Analyst at IMC from February 2009 to December 2009, focusing on quality assurance in the market data connectivity team. Ragesh developed a Java-based automation framework for testing market data feeds and the order management system.

Before IMC, Ragesh was a Member Technical at D. E. Shaw & Co. from October 2006 to August 2008. Their responsibilities included ensuring the quality of a data visualization system used by traders and developing automated systems for quality checking financial reports.

Ragesh's career began at Cognizant Technology Solutions, where they worked as a Programmer from August 2004 to October 2006.

Overall, Ragesh Rajagopalan has an extensive background in software engineering, with experience in areas such as software development, project leadership, quality assurance, and automation.

Ragesh Rajagopalan attended the University of Calicut from 2000 to 2004, where they pursued a degree in Information Technology with a focus on Computer Science.