Summary
Rishabh Kedia is a backend software engineer with 10 years of experience designing and operating large-scale distributed data processing systems in the San Francisco Bay Area. He has repeatedly built realtime streaming infrastructures—most recently leading Flink, Beam, and Kafka-based systems at Palo Alto Networks that handled millions to tens of millions of requests per second and now contributing at CrowdStrike. Comfortable across JVM and big-data stacks (Scala, Java, Spark, Hadoop, Elasticsearch, BigQuery) he focuses on reliability, throughput, and operational tooling for production stream processing. His background spans startups and large enterprises (Lyft, Salesforce, Directi), giving him both product-level pragmatism and deep systems expertise. Notably, he has hands-on experience running Flink on Kubernetes and custom-managed streaming platforms at extreme scale, a capability few engineers acquire outside core streaming teams. He holds a master's from Carnegie Mellon and consistently blends data-pipeline engineering with pragmatic ops to ship robust, observable systems.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering (BEng) Computer Science, Bachelor of Engineering (BEng) Computer Science at Fr. Conceicao Rodrigues College of Engineering
Masters in Infortmation Technology, Masters in Infortmation Technology at Carnegie Mellon University
English, Hindi