Jib Adegunloye
Lead, Engineering at MongoDB
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJib Adegunloye is a Lead Engineer at MongoDB with a decade of experience solving large-scale data and backend challenges. He has risen through senior engineering roles at Meta and MongoDB, bringing deep Python expertise and a track record of improving robustness and efficiency in distributed systems. His open-source contributions to high-profile projects like PyMongo and Microsoft’s Semantic Kernel showcase practical work on retryable operations, datetime handling, async drivers, and vector-search memory stores. Based in New York and Cornell-trained in computer science, he blends production-grade engineering with thoughtful API and docs improvements—often addressing subtle edge cases that reduce duplication and improve developer experience.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Cornell University
Github Skills (17)
asynchronous10
python10
back-end-development10
async10
mongodb-database10
error-handling10
mongodb10
pymongo10
admin9
vector-search9
database-administration9
databases9
database-design9
database9
ai8
Programming languages (9)
Github contributions (5)
mongodb/mongo-python-driver
Aug 2023 - Mar 2025
PyMongo - the Official MongoDB Python driver
Role in this project:
Back-end Developer
Back-end DeveloperContributions:203 reviews, 30 PRs, 17 pushes in 1 year 8 months
Contributions summary:Jib primarily contributed to the PyMongo driver's codebase, focusing on backend logic and error handling. Their work involved refactoring retryable read and write operations to prevent code duplication and improve efficiency. Furthermore, the user addressed specific issues related to date-time conversions and MongoDB monitoring events. The user also implemented changes to update the changelog and documentation.
python-librarypython-driverpythonpython-mongodbmongodb-driver
microsoft/semantic-kernel
Sep 2023 - Feb 2024
Integrate cutting-edge LLM technology quickly and easily into your apps
Role in this project:Back-end Developer
Back-end DeveloperContributions:12 reviews, 5 PRs, 18 comments in 6 months
Contributions summary:Jib contributed to the development of the MongoDB Atlas Vector Search connector for the semantic kernel. Their work included implementing the `MongoDBAtlasMemoryStore` and incorporating the async Python driver `motor`. The user also fixed a bug related to filtering results by the minimum relevance score and added metadata to specify the connection stems from MSK code. These changes improve the functionality and robustness of the memory store within the project.
aiartificial-intelligencellmopenaisdk
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