Ronak Jain is a Staff Software Engineer in Sunnyvale with 11 years focused on distributed systems, currently building secure service mesh infrastructure at Uber. He has progressed through backend and RPC roles at Uber and prior leadership and product engineering positions at Gojek and JUSPAY, bringing hands-on experience shipping large-scale services. An active open-source contributor, he enhanced the popular HTTP load tester "hey" with detailed HTTP tracing and UX improvements and built a Prometheus-to-PCP metrics agent during Google Summer of Code. Comfortable across C/C++, Python, and Go, he blends low-level performance work with operationally-minded tooling and runtime metadata management. Colleagues rely on him for pragmatic, trace-driven observability improvements that surface subtle performance bottlenecks.
11 years of coding experience
8 years of employment as a software developer
Pre-university Science, Pre-university Science at JAIN College
Bachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at CMR Institute Of Technology
Contributions:9 commits, 7 PRs, 22 comments in 1 month
Contributions summary:Ronak contributed significantly to the `hey` project, an HTTP load generator. They primarily focused on adding and refactoring features related to HTTP tracing, including the implementation of detailed timing metrics for DNS lookup, connection setup, request/response times. They also implemented a progress bar, enhancing the user experience by providing real-time feedback during the load testing process, and added the ability to output detailed HTTP trace information and refined the existing CSV output format to accommodate trace data.
Contributions:76 commits, 16 PRs, 11 comments in 6 months
Contributions summary:Ronak's contributions primarily focused on developing a Performance Metrics Domain Agent (PMDA) to import metrics from Prometheus endpoints into the Performance Co-Pilot (PCP) system. They implemented a Python-based PMDA that fetches metrics from a configurable Prometheus endpoint, parses the data, and makes it available within the PCP framework. The user also created a config generator for Prometheus metrics. Furthermore, the user added support for labels and integrated metadata changes during runtime.
analysisperformancegraphmetricsmonitoring
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.