Jeffrey Zambory
Lead Engineer at MongoDB
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolJeffrey Zambory is a Lead Engineer based in New York with seven years of hands-on experience building performant, user-focused tooling at MongoDB and Honeywell. He specializes in performance engineering and full-stack improvements, having contributed to the core MongoDB benchmarking framework and the Evergreen CI system to surface richer metrics and triage workflows. At MongoDB he progressed from software engineer to lead, driving enhancements that blend low-level performance metrics (instruction/cycle counts) with practical UI refinements for developer-facing tools. Known for turning complex performance data into actionable insights, he bridges testing infrastructure, backend data, and front-end presentation to improve reliability and developer productivity.
7 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at University of North Carolina at Chapel Hill
Github Skills (27)
javascript10
benchmark10
c-language10
python10
benchmarking10
mongodb-database10
performance-testing10
cprogramming-language10
mongodb10
json9
ui-design9
databases9
angularjs9
uid9
sql-database9
Programming languages (5)
Github contributions (5)
evergreen-ci/evergreen
Apr 2020 - Sep 2020
A Distributed Continuous Integration System from MongoDB
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:7 reviews, 7 commits, 19 PRs in 5 months
Contributions summary:Jeffrey implemented improvements to the Evergreen CI user interface, focusing on performance-related metrics. Their contributions involved refactoring code to utilize order-based sorting, enhancing percentage/ratio calculations within the performance build baron view, and integrating a new component for filtering change points based on triage status. They also added triaging functionality to expanded metrics within the legacy UI, demonstrating a focus on improving data presentation and user interaction.
continuouscontinuous-integrationsystem-integrationmongodbdistributed
mongodb/mongo
Aug 2019 - Mar 2024
The MongoDB Database
Role in this project:Performance Engineer
Performance EngineerContributions:1 push in 4 years 8 months
Contributions summary:Jeffrey's contributions primarily focused on enhancing and refining the MongoDB performance testing framework, `resmokelib`. They implemented and integrated new metrics, such as instruction and cycle counts, into the benchmark reporting system. Additionally, they added functionality to check performance results against defined thresholds, ensuring benchmarks meet performance targets and introduced a new hook to facilitate this. The changes involved modifications to various files within the testing and configuration directories.
nosqlc-plus-plusmongodb-databasedatabasemongodb
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