Walker Carlson
Co-Founder at Mongoose Media
United States
Summary
🤩
Rockstar🎓
Top SchoolWalker Carlson is a software engineer and recent co-founder with a decade of experience building and hardening distributed stream-processing systems. He holds a Master's in Computer Science and a dual undergraduate background in Mathematics and Computer Science from UC San Diego, and spent several years contributing to Kafka Streams and ksqlDB at Confluent where he added operators, auto-repartitioning, windowing support, and robustness improvements to critical components. Equally comfortable in product-facing and low-level backend work, he has deep expertise in stateful stream processing, query lifecycle management, and production resilience. His background includes teaching and mentoring roles in data structures and operating systems, reflecting a strong foundation in algorithms and systems thinking that informs his engineering and startup work.
10 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree, Mathematics and Computer Science, Bachelor’s Degree, Mathematics and Computer Science at University of California, San DiegoMaster's degree, Computer Science, Master's degree, Computer Science at University of California San Diego
Github Skills (14)
javas10
stream-processing10
kafka-streams10
java10
ksqldb10
scala9
exception-handling9
api8
data-structures8
metric8
data-structure8
multithreading8
apidoc8
testing7
Programming languages (4)
Github contributions (5)
apache/kafka
Nov 2019 - Oct 2022
Mirror of Apache Kafka
Role in this project:
Back-end Developer
Back-end DeveloperContributions:550 reviews, 52 commits, 114 PRs in 2 years 10 months
Contributions summary:Walker contributed significantly to the Apache Kafka project, primarily focusing on the implementation and enhancement of core functionalities within the Kafka Streams library. Their work involved adding new operators, specifically the non-windowed Cogroup operator and support for time and session windows in the cogroup operation. Furthermore, they introduced auto-repartitioning capabilities and addressed related issues.
apache-kafkakafka-consumerapachescalakafka
confluentinc/ksql
Jan 2021 - Nov 2022
The database purpose-built for stream processing applications.
Role in this project:Back-end Developer
Back-end DeveloperContributions:297 reviews, 154 commits, 210 PRs in 1 year 9 months
Contributions summary:Walker made significant changes to the `ksqldb-engine` module, specifically focusing on the `QueryMetadata` and `PersistentQueryMetadataImpl` classes. These changes involved refactoring code, modifying the exception handling for unhandled exceptions in streams threads, and exposing task metadata. The user also contributed to adding support for shared runtimes, and addressing issues related to clean-up and state persistence during query restarts. These commits demonstrate a focus on improving the robustness and management of queries within the stream processing engine.
materialized-viewsstream-processingstreaming-queriesksqldbsql
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