San Sebastián de los Reyes, Community of Madrid, Spain
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Summary
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Rockstar
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Top School
Stanislav Kozlovski is a seasoned distributed-systems engineer and founder with a decade of experience building and operating Apache Kafka at scale. As a Confluent engineer and current Apache Kafka Committer, he helped design self-balancing clusters and elasticity features that power cloud-native Kafka deployments and co-authored award-winning research on the platform. He runs 2 Minute Streaming, a fast-growing technical creator brand that distills complex Big Data and Kafka topics into concise, viral two-minute reads and a polished weekly newsletter. His open-source contributions span core Kafka, the Sarama Go client and Confluent REST Proxy, focusing on reliability, metrics, threading and test robustness—work that improves both developer ergonomics and production stability. Based in Madrid, he blends hands-on systems coding (Java, Go, Scala) with product and community leadership, and is known for communicating high-value insights with rare brevity and polish.
10 years of coding experience
7 years of employment as a software developer
None, None, None, None at Coursera
Software Programming, Software Programming at Software University
Contributions:32 reviews, 107 commits, 142 PRs in 2 years 5 months
Contributions summary:Stanislav contributed to the core Apache Kafka codebase, with commits focused on enhancing the reliability and functionality of the broker. Their work included implementing metrics to count inbound and outbound connections, authorizing custom principal objects for authorization, and improving error logging to ease troubleshooting. Furthermore, they addressed a test flakiness issue by optimizing metrics for downconversion, and fixed a potential bug in a test related to the leader epoch request.
Contributions:52 commits, 41 PRs, 51 pushes in 5 months
Contributions summary:Stanislav contributed to the Confluent REST Proxy for Kafka by adding a utility method for creating consumer properties for testing purposes. They also refactored the consumer threading model, switching to a cached thread pool and modifying read tasks to execute serially on separate threads. Further contributions involved reverting some threading changes and adjusting configuration defaults related to consumer threads and maximum poll records. This work primarily focused on improving the consumer's threading and long-polling behavior.
schema-registryproxyconfluent-cloudrest-proxyrest
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