Wisdom Omuya
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolWisdom Omuya is a backend-focused software engineer and database specialist with 13 years of experience building and hardening distributed systems, particularly around MongoDB drivers and tooling. Based in New York, he has contributed to high-profile open-source projects—including the official MongoDB Go driver and legacy mgo driver—adding core features like ListIndexes, replica set handling, and robust connection and cursor error handling. He pairs a Columbia MS in Computer Science with a valedictorian BS in Software Engineering, bringing both rigorous academics and practical systems experience. His work on MongoDB performance tooling and Evergreen CI shows a pattern of improving reliability, monitoring, and testability in production workflows. Notably, his contributions span both language-level drivers and CI/back-end orchestration, reflecting deep familiarity with database internals and developer-facing infrastructure. He is currently not seeking employment and prefers not to be contacted for job opportunities.
13 years of coding experience
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at Columbia University in the City of New YorkBachelor of Science (BS), Software Engineering, Valedictorian, Bachelor of Science (BS), Software Engineering, Valedictorian at American University of Nigeria
Stackoverflow
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Github Skills (22)
c-language10
python10
back-end-development10
testing10
database-administration10
cicd10
mongodb-database10
replica-set10
database-driver10
go10
bson10
backend10
cprogramming-language10
mongodb10
go-language9
Programming languages (7)
Github contributions (5)
mongodb/mongo-perf
Feb 2013 - Jul 2013
performance tools for mongodb
Role in this project:
Back-end Developer
Back-end DeveloperContributions:243 commits in 5 months
Contributions summary:Wisdom contributed to the performance tools for MongoDB by adding new features and improving existing ones. The commits show the addition of a C++ file (`bson_extract.cpp`) related to BSON extraction and updates to the Python script (`runner.py`) that handles test execution. The user also introduced features like date regex support in the server, new indexes, and support for upserts, suggesting contributions focused on functionality, indexing, and test capabilities.
performance-toolsperformancemongodb
evergreen-ci/evergreen
Apr 2015 - Jul 2017
A Distributed Continuous Integration System from MongoDB
Role in this project:Backend Developer
Backend DeveloperContributions:87 commits, 69 pushes, 25 branches in 2 years 3 months
Contributions summary:Wisdom contributed to the backend logic of the Evergreen CI system. They focused on improving task execution, including checking for null pre-task commands and passing arguments to closures. They also made changes to the monitoring and notification system, including modifying the handling of notifications related to host termination and slow provisioning. These changes appear to be aimed at enhancing the reliability and functionality of the CI system.
continuouscontinuous-integrationsystem-integrationmongodbdistributed
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