SE4CPS/DMS
Mar 2025 – Apr 2025
2 Months active
Languages Used
CSSHTMLJavaScriptPythonSQL
Technical Skills
API DevelopmentBackend DevelopmentDatabase IntegrationDatabase InteractionDatabase ManagementFlask
EstevahnAguilera
PROFILE
Estevahnaguilera
Over a two-month period, contributed to the SE4CPS/DMS repository by developing and refining a flower management and watering tracking system. Built end-to-end CRUD features and RESTful APIs using Python, Flask, and PostgreSQL, enabling persistent storage and accurate scheduling of watering data. Enhanced the frontend with HTML and JavaScript for improved user experience, while optimizing database queries and integrating performance testing endpoints to simulate and analyze indexing impacts. Addressed technical debt by removing obsolete scripts and reorganizing repository structure. Fixed logic errors in watering status calculations, resulting in more reliable data for decision-making and streamlined workflows for flower data management.
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 peopleShared Repositories
22
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
Overview of all repositories you've contributed to across your timeline