SE4CPS/DMS
Mar 2025 – Apr 2025
2 Months active
Languages Used
PythonSQL
Technical Skills
API DevelopmentBackend DevelopmentDatabase ManagementPostgreSQLSQLData Insertion
K5741
PROFILE
K5741
K. Amador developed core backend features for the SE4CPS/DMS repository over two months, focusing on robust data modeling and API design. They built a Flower Management System using Python and PostgreSQL, introducing a dedicated SQL table and a Flask API to support CRUD operations and lifecycle tracking. Amador extended the data model to include customer and order management, establishing relationships between entities and seeding data for rapid validation. Their work centralized database connections and improved test scaffolding, resulting in a maintainable, scalable backend. The engineering demonstrated depth in database design, backend development, and practical integration of automated workflows for plant inventory management.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
3
Lines of code
1,202,606
Activity Months2
Your Network
38 people
Work History
April 2025
7 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for SE4CPS/DMS: Delivered foundational data model extensions to support customer and order management, seeded data for rapid validation, and cleaned up test scaffolding to improve reliability and maintainability. These changes enable end-to-end workflows for customer records and orders, reduce setup time in new environments, and lay groundwork for reporting and ops readiness.
7 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for SE4CPS/DMS: Delivered foundational data model extensions to support customer and order management, seeded data for rapid validation, and cleaned up test scaffolding to improve reliability and maintainability. These changes enable end-to-end workflows for customer records and orders, reduce setup time in new environments, and lay groundwork for reporting and ops readiness.
April 2025
March 2025
3 Commits • 1 Features
Mar 1, 2025March 2025 Monthly Summary — SE4CPS/DMS: Delivered a complete Flower Management System backed by Neon, introducing a dedicated flowers SQL table, a Flask API to manage flowers (list all, list needing watering, add/update/delete), and a centralized Neon database connection for all operations. This work enables accurate plant lifecycle tracking, supports automated watering workflows, and provides a scalable foundation for inventory management.
March 2025
3 Commits • 1 Features
Mar 1, 2025March 2025 Monthly Summary — SE4CPS/DMS: Delivered a complete Flower Management System backed by Neon, introducing a dedicated flowers SQL table, a Flask API to manage flowers (list all, list needing watering, add/update/delete), and a centralized Neon database connection for all operations. This work enables accurate plant lifecycle tracking, supports automated watering workflows, and provides a scalable foundation for inventory management.
Activity
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Quality Metrics
Correctness86.0%
Maintainability86.0%
Architecture84.0%
Performance82.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonSQL
Technical Skills
API DevelopmentBackend DevelopmentData InsertionData SeedingDatabase DesignDatabase ManagementPostgreSQLPythonSQL
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