Sr. Staff Software Engineer
CurrentAs a Technical Lead at LinkedIn, I spearheaded a high-impact server performance team over the last four years, focusing on troubleshooting and rectifying performance issues within predominantly Java applications. My key responsibilities included leading the migration of the entire fleet from JDK8 to JDK11 and subsequently to JDK17, demonstrating adeptness in managing complex transitions.A significant portion of my role involved comprehending and resolving issues at scale, working collaboratively with various infrastructure teams, including Kafka, Espresso, Pinot, and Venice.One of the highlights of my tenure was presenting at the QCon San Francisco 2023 conference, where I shared insights into the optimizations applied to the design and code of the Venice system, achieving an impressive 1 million operations per second per node.My commitment to continuous improvement extended beyond LinkedIn, as I actively contributed to open-source projects, including the OpenJDK, and made performance related contributions to libraries such as Avro and Log4J.To scale operations efficiently, I led multiple projects, including the development of a machine learning-based Java Garbage Collection tuning algorithm. This solution not only improved GC performance for internal applications but also automated the end-to-end process of validating results and deploying updated settings seamlessly.