Neha Narkhede is a serial founder and engineer with 16 years of experience building large-scale, operable data systems and real-time infrastructure. She co-created Apache Kafka and co-founded Confluent, where she led product and technology to commercialize one of the most widely used distributed publish/subscribe systems. Now based in Palo Alto, she runs Oscilar to apply AI to transaction safety while also advising and investing in early-stage infrastructure and security startups. Her hands-on contributions to Kafka’s Java producer API, schema registry, and core replication/controller logic reflect deep systems expertise beyond executive leadership. Comfortable moving between low-level back-end engineering and company strategy, she has repeatedly taken research-grade distributed systems into production at web scale. Her background combines an MS in Computer Science with a track record of deploying systems that process hundreds of billions of events per day.
15 years of coding experience
11 years of employment as a software developer
MS Computer Science, MS Computer Science at Georgia Institute of Technology
BE Computer Science, BE Computer Science at Savitribai Phule Pune University
Contributions summary:Neha contributed to the Java API of the Kafka project, focusing on the Producer component. They implemented and modified classes related to message sets, producer configurations, and the handling of messages within the Java API. The commits include improvements to the Java API by adding methods, fixing bugs, and incorporating the compression feature. Further contributions involve improvements in the ZK based producer class to properly handle and manage broker partitions.
Contributions:107 commits, 10 comments in 2 years 3 months
Contributions summary:Neha primarily contributed to the core backend logic, addressing issues and implementing improvements within the Kafka codebase. Their work included modifying and extending the `TopicMetadataRequest` API, enhancing error messages within the producer, and improving the internal mechanisms for stopping replicas. The commits show direct interaction with the core messaging components and addressing various performance and reliability issues. The user has also done changes related to the controller and consumer components of kafka.
apache-kafkakafka-consumerapachescalakafka
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