CISC375/SageTeamX
Dec 2024 – Dec 2024
1 Month active
Languages Used
JavaScriptTypeScript
Technical Skills
API IntegrationBackend DevelopmentDatabase IntegrationDiscord Bot DevelopmentMongoDBNode.js
Neil Irungu
PROFILE
Neil Irungu
Neil Irungu integrated MongoDB into the SageTeamX calendar filtering system, delivering a feature that enables persistent storage and retrieval of both raw and filtered events. Working in the CISC375/SageTeamX repository, Neil established a scalable data layer by implementing upsert operations and ensuring cross-pipeline data consistency, all while maintaining the integrity of the existing filtering logic. The solution involved backend development and database integration using Node.js, JavaScript, and MongoDB, with careful scaffolding of connections and data models. This work enhanced the system’s analytics readiness and recoverability, providing a foundation for historical data analysis without disrupting current workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
109
Activity Months1
Your Network
8 people
Work History
December 2024
2 Commits • 1 Features
Dec 1, 2024Month: 2024-12 — Delivered a key feature to enhance data durability and analytics readiness in SageTeamX by integrating MongoDB into the calendar filtering system. This feature enables persistent storage of both raw and filtered events, with upsert, retrieval, and cross-pipeline data consistency. The work was completed with minimal disruption to the existing filtering logic and establishes a scalable data layer for historical analytics and recoverability across the pipeline.
2 Commits • 1 Features
Dec 1, 2024Month: 2024-12 — Delivered a key feature to enhance data durability and analytics readiness in SageTeamX by integrating MongoDB into the calendar filtering system. This feature enables persistent storage of both raw and filtered events, with upsert, retrieval, and cross-pipeline data consistency. The work was completed with minimal disruption to the existing filtering logic and establishes a scalable data layer for historical analytics and recoverability across the pipeline.
December 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptTypeScript
Technical Skills
API IntegrationBackend DevelopmentDatabase IntegrationDiscord Bot DevelopmentMongoDBNode.js
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