Steven Zhang
Member Of Technical Staff at Prophet Security
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolSteven Zhang is a software engineer with eight years of experience building reliable, back-end systems, currently serving as a Member of Technical Staff after roles at Confluent and a recent move to Prophet Security. A Johns Hopkins graduate in Applied Mathematics and Computer Science, he has deep experience in stream-processing platforms—contributing to ksqlDB and Flink control plane work at Confluent and fixing subtle correctness and migration bugs in the ksql engine. Steven combines production-focused engineering (bug fixes, testing, metric emission) with attention to distributed-system edge cases like invalid command-topic records and schema/topic lifecycle handling. He has a history of mentoring and teaching as a course assistant at Johns Hopkins and brings that collaborative mindset to cross-team efforts. Based in Boston, he blends strong academic foundations with hands-on experience shipping durable, observable infrastructure for real-time data platforms.
8 years of coding experience
7 years of employment as a software developer
Johns Hopkins University
English, Chinese
Github Skills (8)
javas10
kafka-streams10
java10
testing10
schema9
data-serialization8
serialization8
prometheus7
Programming languages (4)
Github contributions (5)
confluentinc/ksql
Jul 2019 - Nov 2022
The database purpose-built for stream processing applications.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:243 reviews, 207 commits, 337 PRs in 3 years 4 months
Contributions summary:Steven primarily contributed to bug fixes and testing within the ksql engine codebase, specifically related to the handling of topics, schemas, and command topic migration. They addressed issues where dropping topics or schemas succeeded even when they were missing. The user also made updates to ensure that the server's command topic operations could handle invalid records and worked on implementing functionality for metric emission related to processing log streams.
materialized-viewsstream-processingstreaming-queriesksqldbsql
stevenpyzhang/ksql
Jul 2019 - Apr 2022
KSQL - the Streaming SQL Engine for Apache Kafka
Contributions:2 PRs, 928 pushes, 190 branches in 2 years 9 months
stream-processingapache-kafkaksqldbksqlstreaming-sql
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