Summary
Shoumyo Chakravorti is a software engineer with nine years of experience building data and product infrastructure for financial analytics at Bloomberg. He focuses on scalable backend systems and data pipelines, with hands-on expertise in C++, Python, Kafka, SQL, and modern frontend stacks like TypeScript and React. At Bloomberg he has designed and implemented infrastructure to throttle and monitor large Solr reindexes, built asynchronous C++ services backed by Kafka and SQL, and shipped dashboards and automation tooling to streamline operations. Earlier roles include full-stack work on trading simulators and research-oriented ML tooling, where he automated lengthy data collection and built production-ready APIs and interfaces. A high-achieving Rutgers CS graduate (3.98 GPA), he combines deep systems engineering with practical product sensibility and a knack for turning manual workflows into reproducible, containerized processes. Based in New Jersey, he brings an engineer’s attention to reliability and observability to high-throughput financial data systems.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Sciences (B.S.), Computer Science, GPA: 3.98, Bachelor of Sciences (B.S.), Computer Science, GPA: 3.98 at Rutgers University – New Brunswick
High School Diploma, GPA: 4.64 Weighted / 3.94 Unweighted, High School Diploma, GPA: 4.64 Weighted / 3.94 Unweighted at Bridgewater Raritan High School