John Yearsley is a Technical Account Manager at MongoDB with a decade of experience building and stabilizing large-scale distributed systems for Fortune 500 clients across finance, cybersecurity, media, and healthcare. He blends strong mathematical training (BS in Mathematics) with hands-on engineering, having designed event-driven, serverless architectures, led high-stakes incident triage that averted multi-million-dollar losses, and revived major cloud migration programs. Equally comfortable in code and customer rooms, he’s contributed backend integrations to notable open-source projects—adding MongoDB Atlas retrieval capabilities to the DSPy LLM framework—reflecting his interest in AI and practical retrieval systems. A pragmatic problem solver and former founder who engineered automation for a vertical farm, he brings entrepreneurial creativity, cross-disciplinary communication, and a track record of turning “what’s possible” into production reality.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at University of Washington
Graduate Coursework, Stochastics and Data Science, Graduate Coursework, Stochastics and Data Science at Università degli Studi di Torino
DSPy: The framework for programming—not prompting—language models
Role in this project:
Back-end Developer
Contributions:1 PR, 13 comments, 9 issues in 4 months
Contributions summary:John primarily focused on integrating MongoDB Atlas as a retrieval model within the DSPy framework. Their work involved creating a new module, `MongoDBAtlasRM`, enabling the use of MongoDB Atlas for retrieving relevant information based on vector search. The commits also included updates to the `setup.py` file to include necessary dependencies for MongoDB integration. This suggests a contribution focused on enhancing the data retrieval capabilities of the DSPy framework.
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John Yearsley - Technical Account Manager at MongoDB