Rahul Raghunath is a Senior Software Engineer with 11 years of experience building large-scale, product-driven data and advertising systems, currently leading performance marketing engineering at Zalando. He combines distributed systems expertise (Kafka, Spark/PySpark, Scala FS2, Kubernetes, AWS) with strong product intuition to turn experimentation and ad-tech initiatives into measurable business impact, including a ~2% drop in bounce rates on Zalando’s Product Detail Pages. Rahul has driven platform re-architecture and automation—recovering ~35% of lost iOS attribution and halving complexity in budget-steering systems—while launching ads into new markets and platforms. He contributes to open-source (notably enhancements and robust error handling in the pymodbus Python library), demonstrating attention to quality and testing. Based in Bengaluru and experienced across startups and enterprises, he excels at aligning cross-functional teams to deliver scalable, reliable systems. Outside of core work he pursues computer vision projects and brings a practical leadership edge honed as an outdoor leader guiding and coordinating teams in challenging conditions.
11 years of coding experience
8 years of employment as a software developer
Pre-University Computer Science / Mathematics, Pre-University Computer Science / Mathematics at CMR National PU College
Bachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at BMS Institute of Technology
High School Computer Science Elective, High School Computer Science Elective at Vidya Niketan School
Contributions:7 commits, 11 PRs, 28 pushes in 5 months
Contributions summary:Rahul made several contributions to the `pymodbus` library, including adding functionality for stopping asynchronous servers and implementing error handling. They also added unit tests to increase code coverage, demonstrating a focus on software quality. Further improvements involved addressing error conditions and incorporating a new API to check for errors, enhancing the robustness and usability of the library.
Contributions:16 pushes, 2 branches, 5 comments in 1 year 2 months
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