Kevin Cherkauer
Senior Software Engineer - Query Team, Server at MongoDB
Portland, Oregon Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolKevin Cherkauer is a senior software engineer based in Portland with a decades-long track record of designing and shipping high-performance, scalable backend systems for databases, ETL, and cloud services. He currently drives query-server work at MongoDB and has contributed core bug fixes and performance optimizations to the widely used mongodb/mongo project. Previously he architected cloud-native microservices and a Spark-based ETL engine at IBM, and led major Global Secondary Index features and performance improvements at Couchbase. His expertise spans relational database internals, streaming CDC with Kafka, microservices, and core engine development in C++, Java, and Python. Known for simplifying complex designs, improving code quality at scale, and documenting previously opaque systems, he pairs deep technical rigor with practical delivery discipline. He holds advanced CS degrees from the University of Wisconsin–Madison and a strong history of patents and research in high-performance data systems.
3 years of coding experience
32 years of employment as a software developer
Doctor of Philosophy - PhD candidate (ABD -- all but dissertation), Computer Science, 4.00/4.00, Doctor of Philosophy - PhD candidate (ABD -- all but dissertation), Computer Science, 4.00/4.00 at University of Wisconsin-MadisonBachelor's degree, Computer Science, 3.97/4.00, Bachelor's degree, Computer Science, 3.97/4.00 at SUNY at Buffalo
Github Skills (11)
aggregation-framework10
databases10
c-language10
cprogramming-language10
mongodb10
relational-databases10
sql-database10
mongodb-database10
database10
performance-optimization9
nosql8
Programming languages (2)
Github contributions (4)
mongodb/mongo
Aug 2022 - Jan 2023
The MongoDB Database
Role in this project:
Back-end Developer
Back-end DeveloperContributions:19 commits in 4 months
Contributions summary:Kevin contributed significantly to the MongoDB database project by fixing bugs and optimizing core database functionalities. Their work focused on addressing overflow issues within aggregation pipelines involving date and decimal operations, leading to robust data handling. They also implemented performance improvements by optimizing the `MultiBsonStreamCursor::nextFromCurrentStream()` method. Further contributions included adding new benchmarks for aggregation expressions and named pipe functionalities.
nosqlc-plus-plusmongodb-databasedatabasemongodb
huaxz1986/mongo
Jan 2023 - Feb 2023
The MongoDB Database
Contributions:3 commits in 29 days
faunadbmongodb-databasedatabasemongodb-drivermongodb
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