Zhaochun Ma

Software Engineer at Confluent

Los Angeles, California, United States
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Summary

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Rockstar
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Top School
Zhaochun Ma is a software engineer in Los Angeles with four years of experience building resilient back-end systems and web applications, currently contributing to Confluent’s Schema Registry for Kafka. He has strong cross-language skills (Java, C/C++, Python, JavaScript) and a background in machine learning and computer vision from research on finger-vein point-cloud reconstruction. At VMware he helped design APIs and controllers for Tanzu Mission Control, bringing practical Kubernetes operator/controller experience to SaaS-scale infrastructure. His open-source contributions focus on hardening distributed systems—fixing null-pointer issues, adding disconnect handling, and implementing interceptors to improve reliability in a widely used Kafka ecosystem component. Trained in electrical engineering and computer science (UC San Diego, exchange at Karlsruhe), he pairs systems-level rigor with applied ML and signal-processing instincts.
code3 years of coding experience
job5 years of employment as a software developer
bookBachelor of Engineering - BE, Electrical and Electronics Engineering, Bachelor of Engineering - BE, Electrical and Electronics Engineering at University of Electronic Science and Technology
bookUniversity of California, San Diego
bookExchange student, Computer Science, Exchange student, Computer Science at Karlsruhe University of Applied Sciences
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Github Skills (12)

javas10
api-rest10
rest-api10
exception-handling10
schema10
api-design10
java10
restful-api10
jetty9
kafka9
avro8
junit8

Programming languages (7)

C#JavaShellJavaScriptGoHTMLPython

Github contributions (5)

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confluentinc/schema-registry

Oct 2023 - Jan 2025

Confluent Schema Registry for Kafka
Role in this project:
userBack-end Developer
Contributions:27 reviews, 9 PRs, 10 pushes in 1 year 3 months
Contributions summary:Zhaochun's contributions primarily involve fixing bugs and improving the robustness of the schema registry service. This is evidenced by the resolution of a null pointer exception (NPE) when handling null values. Further contributions include adding exception handling for client disconnections and implementing interceptors to manage and swallow exceptions related to client disconnection errors, improving the resilience of the system. Additionally, the user has merged a branch, indicating integration of other changes into the main codebase.
avroschema-registryprotobuf-schemaprotobufschema-validation
Example scenario workflows for Confluent for Kubernetes
Contributions:4 pushes, 4 branches in 9 months
scenarioconfluent-for-kuberneteskubernetesconfluentworkflows
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Zhaochun Ma - Software Engineer at Confluent