About

Ragesh Rajagopalan is a highly experienced Software Engineer with over 13 years of experience in software development and quality assurance. He has a strong background in Big Data, Machine Learning, Microservices, Java, Hadoop, and Python. Ragesh has worked with some of the top companies in the industry, including Amazon, LinkedIn, and D.E.Shaw. At LinkedIn, Ragesh conceptualized and led the grid (BigData) operational intelligence charter, which helped around 400 engineers reduce their time to ship. He successfully pitched, aligned, and onboarded all grid-customers to this ecosystem. The charter involved multiple grids with tens of petabytes of data, multiple systems integration to ensure a single source of truth, design, and development of microservices, and big data applications. Ragesh also contributed to open source projects like Dr. Elephant and Azkaban. Ragesh is an evangelist and technical advisor for herding large horizontal initiatives impacting around 200 engineering teams across geos. He has also trained large teams on new tools and technologies and mentored junior team members. Ragesh has experience in Agile development FinTech, where he defined and implemented automation frameworks, technologies, and processes end-to-end. At D.E.Shaw, Ragesh developed a web-driver (Java, Selenium) based automation suite for a large-scale pre-trade data analysis engine. He partnered with cross-functional stakeholders across trading domains such as Energy, Futures, Options, Macro, Equity, and managed a team of engineers. Ragesh also developed a performance testing framework for a firm-wide resource monitoring & alerting system. Ragesh holds a degree in Information Technology from the University of Calicut. He has a strong tech stack that includes Software Engineering, Machine Learning, Java, QA, Microservices, Hadoop, Big Data, Python, Integration, MapReduce, UI, Selenium, Test, and Web. Ragesh is a highly skilled professional with relevant experience of 17.20 years.