Akhilesh Chaganti
Staff Software Engineer at Confluent
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAkhilesh Chaganti is a Staff Software Engineer in San Francisco with 11 years of experience building distributed systems, file systems, and scalable storage for cloud-native platforms. He currently architects the next-generation network stack for Confluent’s Kafka-based cloud engine after leading KRaft migration, ClusterLinking, and other core Kafka features. His background spans AWS Aurora storage, Nutanix core data path and NetApp ONTAP work on NFS and SnapMirror, showing deep expertise across storage stacks and multimaster/global database designs. An active open-source contributor, he has fixed critical KRaft bugs and improved broker-controller communication in Apache Kafka, directly shaping Zookeeper-to-KRaft migration. Known for tackling thorny reliability and scale problems, he blends systems-level rigor with practical production experience in large distributed services.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at Indian Institute of Technology, HyderabadMaster of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at State University of New York, Stony Brook
English, Telugu, Hindi
Github Skills (11)
javas10
kafka10
metadata-management10
java10
scala10
concurrency9
apidoc9
api9
junit8
jtest8
performance-optimization7
Programming languages (2)
Github contributions (5)
apache/kafka
May 2022 - Jan 2023
Mirror of Apache Kafka
Role in this project:
Back-end Developer
Back-end DeveloperContributions:49 reviews, 18 commits, 17 PRs in 8 months
Contributions summary:Akhilesh contributed to the Apache Kafka project, focusing on bug fixes and enhancements within the KRaft (Kafka Raft) mode. Their work primarily involved resolving issues related to the `CreatePartitions` request, the deletion of topics, and ACL handling, specifically addressing NullPointerExceptions and inconsistencies. The contributions also extend to improvements in the broker-to-controller communication and the introduction of features supporting ZK migration. The user's work is centered around enhancing the stability and functionality of Kafka's core components.
apache-kafkakafka-consumerapachescalakafka
akhileshchg/kafka
Apr 2022 - May 2023
Mirror of Apache Kafka
Contributions:56 pushes, 18 branches in 1 year
kafka-streamsapache-kafkasinkkafka-consumerstreams
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