Dataflux-U-nidos/Backend
Apr 2025 – May 2025
2 Months active
Languages Used
JavaScriptTypeScript
Technical Skills
API DevelopmentBackend DevelopmentDatabase DesignExpress.jsMongooseNode.js
Juan Miguel Zuluaga Suárez
PROFILE
Juan Miguel Zuluaga Suárez
During a two-month period, Jun Zulu developed and enhanced backend features for the Dataflux-U-nidos/Backend repository, focusing on robust admin governance and streamlined testing workflows. He implemented category-based admin endpoints and CRUD operations for user types such as Marketing, Support, and Finances, leveraging TypeScript, Node.js, and Mongoose for strong data modeling and auditability. Jun also integrated psychometric and vocational test APIs with AWS Lambda, introducing JSON templates to standardize payloads and email-based customer satisfaction workflows. His work improved data integrity, reporting, and cross-service coordination, demonstrating depth in backend API development, database design, and scalable integration without reported major bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
4
Lines of code
744
Activity Months2
Your Network
5 people
Work History
May 2025
2 Commits • 2 Features
May 1, 2025May 2025: Backend feature delivery for psychometric/vocational testing and customer satisfaction workflows. Implemented API integration for psychometric, vocational, and partial vocational tests with Lambda-backed processing and new controllers/routes; enabled email-based satisfaction questionnaire dispatch and data retrieval via Lambda endpoints; introduced JSON templates to standardize test data. These efforts streamline test processing, enhance data reliability, and improve customer feedback capture, delivering measurable business value with faster end-to-end processing and better metrics. No major bugs reported; minor issues addressed promptly. Technologies demonstrated include backend API design, AWS Lambda integrations, JSON templating, email workflows, and cross-service data coordination.
2 Commits • 2 Features
May 1, 2025May 2025: Backend feature delivery for psychometric/vocational testing and customer satisfaction workflows. Implemented API integration for psychometric, vocational, and partial vocational tests with Lambda-backed processing and new controllers/routes; enabled email-based satisfaction questionnaire dispatch and data retrieval via Lambda endpoints; introduced JSON templates to standardize test data. These efforts streamline test processing, enhance data reliability, and improve customer feedback capture, delivering measurable business value with faster end-to-end processing and better metrics. No major bugs reported; minor issues addressed promptly. Technologies demonstrated include backend API design, AWS Lambda integrations, JSON templating, email workflows, and cross-service data coordination.
May 2025
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 Backend monthly summary: Strengthened admin governance and data integrity with category-based admin endpoints and robust data modeling. Key accomplishments include admin CRUD for Marketing, Support, and Finances and added admin endpoints to retrieve data by category; addition of createdAt/updatedAt audit timestamps across key entities; and a refactor to cast user update results to the User type. This work enhances auditability, reduces risk of type errors, and improves reporting capabilities. No major bugs reported this period.
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 Backend monthly summary: Strengthened admin governance and data integrity with category-based admin endpoints and robust data modeling. Key accomplishments include admin CRUD for Marketing, Support, and Finances and added admin endpoints to retrieve data by category; addition of createdAt/updatedAt audit timestamps across key entities; and a refactor to cast user update results to the User type. This work enhances auditability, reduces risk of type errors, and improves reporting capabilities. No major bugs reported this period.
Activity
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Quality Metrics
Correctness86.0%
Maintainability84.0%
Architecture86.0%
Performance80.0%
AI Usage28.0%
Skills & Technologies
Programming Languages
JavaScriptTypeScript
Technical Skills
API DevelopmentAPI IntegrationAWS Lambda IntegrationBackend DevelopmentDatabase DesignExpress.jsMongooseNode.jsREST APIsTypeScriptUser Management
Repositories Contributed To
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