SE4CPS/DMS
Mar 2025 – Apr 2025
2 Months active
Languages Used
CSSHTMLJavaScriptPythonSQL
Technical Skills
API DevelopmentBackend DevelopmentDatabase IntegrationDatabase InteractionDatabase ManagementFlask
EstevahnAguilera
PROFILE
Estevahnaguilera
Estevahn Aguilera developed end-to-end flower management and watering tracking systems for the SE4CPS/DMS repository, focusing on robust data workflows and user experience. Leveraging Python, Flask, and PostgreSQL, Estevahn designed RESTful APIs and frontend interfaces to enable CRUD operations, persistent watering schedules, and real-time status updates. The work included optimizing SQL queries, integrating NeonDB, and implementing performance testing endpoints to simulate database load and demonstrate indexing impacts. By cleaning up obsolete scripts and refining data models, Estevahn improved data integrity, reduced technical debt, and enhanced the accuracy of watering logic, delivering a maintainable and performance-aware backend solution.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
16Total
Bugs
2
Commits
16
Features
4
Lines of code
2,327
Activity Months2
Your Network
22 people
Work History
April 2025
5 Commits • 2 Features
Apr 1, 2025Month: 2025-04 — Performance-focused monthly summary for SE4CPS/DMS. Focused on delivering an end-to-end flower management solution and strengthening performance testing capabilities. Key features delivered include Flower Watering Web Application with RESTful CRUD API for flower data, frontend HTML/JS, and PostgreSQL-backed persistence for watering schedules and levels; plus Performance Testing Endpoints (slow_query and updated fast_query) to simulate DB load and demonstrate indexing impacts with associated UI adjustments. A critical bug fix corrected the get_flowers needs_water logic to compare current water_level with min_water_required to accurately report watering needs. Outcomes include a functional, persistent data model, improved data accuracy for watering decisions, and enhanced visibility into database performance.
5 Commits • 2 Features
Apr 1, 2025Month: 2025-04 — Performance-focused monthly summary for SE4CPS/DMS. Focused on delivering an end-to-end flower management solution and strengthening performance testing capabilities. Key features delivered include Flower Watering Web Application with RESTful CRUD API for flower data, frontend HTML/JS, and PostgreSQL-backed persistence for watering schedules and levels; plus Performance Testing Endpoints (slow_query and updated fast_query) to simulate DB load and demonstrate indexing impacts with associated UI adjustments. A critical bug fix corrected the get_flowers needs_water logic to compare current water_level with min_water_required to accurately report watering needs. Outcomes include a functional, persistent data model, improved data accuracy for watering decisions, and enhanced visibility into database performance.
April 2025
March 2025
11 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for SE4CPS/DMS: Delivered end-to-end flower management features and watering tracking, plus cleanup of obsolete scripts. Business impact includes streamlined data management, improved UX, and reduced technical debt across core flower data workflows.
March 2025
11 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for SE4CPS/DMS: Delivered end-to-end flower management features and watering tracking, plus cleanup of obsolete scripts. Business impact includes streamlined data management, improved UX, and reduced technical debt across core flower data workflows.
Activity
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Quality Metrics
Correctness86.4%
Maintainability85.0%
Architecture78.8%
Performance81.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptPythonSQL
Technical Skills
API DevelopmentBackend DevelopmentDatabase IntegrationDatabase InteractionDatabase ManagementDatabase OptimizationFlaskFront End DevelopmentFrontend DevelopmentNeonDBPostgreSQLPythonSQLSQL Query TuningWeb Development
Repositories Contributed To
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