Worked on the aiven/inkless repository to deliver performance and reliability improvements for Kafka log management. Focused on backend development using Java and Scala, the work included updating default thread pool sizes and enforcing configuration validation to optimize resource usage and reduce misconfiguration risks. Enhanced Kafka’s default settings, such as adjusting linger.ms and enforcing a minimum log segment size, to improve batch processing efficiency, lower latency, and strengthen log recovery. Emphasized integration and unit testing to ensure robust configuration changes. The technical approach aligned with KIP-1030 and KAFKA-16368, resulting in clearer operational defaults and improved maintainability for customers.