miw-upm/apaw-practice
Sep 2025 – Oct 2025
2 Months active
Languages Used
JavaJavaScriptTypeScriptXMLYAML
Technical Skills
Backend DevelopmentData ModelingDatabase DesignJavaJava DevelopmentMongoDB
paulixx
PROFILE
Paulixx
Paula Martinez Arce developed foundational backend features for the miw-upm/apaw-practice repository, focusing on robust data modeling and persistence for the Apiary domain. She designed and implemented core domain models and MongoDB-backed data access layers using Java and Spring Boot, enabling reliable storage and querying for entities such as Apiary, Hive, Product, and Sale. Paula introduced RESTful APIs for sales and product management, including endpoints for creating, deleting, and updating records, and ensured data integrity through DTOs and comprehensive test coverage. Her work established a maintainable infrastructure that supports future analytics and streamlined development, emphasizing quality and technical depth.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
22Total
Bugs
0
Commits
22
Features
7
Lines of code
2,958
Activity Months2
Your Network
36 people
Work History
October 2025
18 Commits • 6 Features
Oct 1, 2025Concise monthly summary for 2025-10 focusing on business value and technical achievements across the miw-upm/apaw-practice repository.
18 Commits • 6 Features
Oct 1, 2025Concise monthly summary for 2025-10 focusing on business value and technical achievements across the miw-upm/apaw-practice repository.
October 2025
September 2025
4 Commits • 1 Features
Sep 1, 2025September 2025 performance summary for miw-upm/apaw-practice: Delivered foundational Apiary data model and persistence layer, establishing core domain models and MongoDB adapters, with focused refactoring for naming consistency. The work creates a solid data foundation for Apiary, Hive, Product, and Sale and enables reliable storage, querying, and future analytics.
September 2025
4 Commits • 1 Features
Sep 1, 2025September 2025 performance summary for miw-upm/apaw-practice: Delivered foundational Apiary data model and persistence layer, establishing core domain models and MongoDB adapters, with focused refactoring for naming consistency. The work creates a solid data foundation for Apiary, Hive, Product, and Sale and enables reliable storage, querying, and future analytics.
Activity
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Quality Metrics
Correctness88.2%
Maintainability87.2%
Architecture86.4%
Performance83.2%
AI Usage21.0%
Skills & Technologies
Programming Languages
JavaJavaScriptTypeScriptXMLYAML
Technical Skills
API DevelopmentBackend DevelopmentDTO DesignData Access ObjectsData ModelingDatabase DesignDatabase IntegrationDatabase ManagementDatabase SeedingFunctional TestingIntegration TestingJavaJava DevelopmentMongoDBObject-Oriented Programming
Repositories Contributed To
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