Rupesh Jha is a pragmatic full-stack software engineer with 8 years of experience building low-latency, highly scalable web and data systems across startups and large platforms. Currently on LinkedIn's Fast Ingestion team, he designs and optimizes pipelines that handle petabyte-scale throughput and has driven a 67% migration of tracking data from Kafka to a next-gen infra with zero downtime. He is fluent across backend (Java, Spring Boot, Node.js), data infra (Spark, HDFS, Flink), and frontend (React/Redux), and has a track record of delivering sub-10ms p99 APIs and 300k+ RPS services at Groww. An active open-source contributor and past GSOC participant, Rupesh improves both code quality and system reliability—often tackling root bugs that unblock major migrations. Based in Bengaluru and trained at IIIT Bhubaneswar, he pairs a systems-first mindset with a bias for shipping well-tested, production-ready solutions.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Technology, Bachelor of Technology at International Institute of Information Technology, Bhubaneswar
This is an Open Source social Platform where people can interact with Open Source expertise around the globe and work on different projects
Role in this project:
Full-stack Developer
Contributions:38 reviews, 52 commits, 42 PRs in 1 year 6 months
Contributions summary:Rupesh primarily focused on improving the quality and readability of the frontend codebase for the social platform. Their commits included refactoring controller and view files, suggesting involvement in both backend and frontend logic. They also contributed to the front-end component using Javascript and HTML/CSS along with react framework.
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