EXCEEDS logo
Exceeds
AlvaroMoralesBabel

PROFILE

Alvaromoralesbabel

Álvaro Mperujo developed the backend for the Proyecto-Final repository, focusing on a scalable renting platform with automated loan approval workflows. He designed and implemented core domain models and RESTful APIs using Java and Spring Boot, establishing a robust data model and API surface for entities such as clients, vehicles, and economic data. His work included building a rules engine for decision automation, refactoring DTOs for clarity, and improving project structure and documentation. By integrating JPA and Hibernate for database management and enhancing test coverage with JUnit and Mockito, Álvaro delivered maintainable, well-documented code that accelerated feature delivery and improved reliability.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

22Total
Bugs
2
Commits
22
Features
4
Lines of code
8,400
Activity Months2

Work History

May 2025

4 Commits • 1 Features

May 1, 2025

Monthly summary for 2025-05 (Proyecto-Final). Focused on delivering business-critical features for economic data management, hardening rule validation, and stabilizing the API surface. Key outcomes include a new Client Economic Data Management System with endpoints to create employed and self-employed economic data, plus services, controllers, and mappers, along with maintainability-focused refactors, comprehensive tests, improved request handling and approval rules, and an enhanced client deletion flow. In addition, rule engine robustness improvements addressed debt, investment, and age rule test failures with better data validation; and a rollback was performed to restore stability after an API refactor, reestablishing mains components and stabilizing core controllers across Client/EconomicData/Request flows.

April 2025

18 Commits • 3 Features

Apr 1, 2025

April 2025 — Proyecto-Final backend progress (Jesus-Santos-babelgroup/Proyecto-Final) focused on delivering a solid data model, API surface, and automated decision workflows, while improving project structure and documentation. Key outcomes align with business value: faster feature delivery, consistent data contracts, and a scalable architecture that supports renting operations and loan approvals. Key features delivered: - Renting data model and API surface: introduced core domain entities (Address, Client, Country, Debt, EconomicDataEmployed, EconomicDataSelfEmployed, ExtraRequested, ExtraVehicle, Informa, Nonpayment, RentingRequest, Vehicle, VehicleRequested, Warranty), associated enums, and initial API endpoints for clients, requests, and vehicles. Included initial DTOs with nested data structures to enable data exchange. - Project scaffolding and structural refactors: established initial project layout, reorganized directories/packages, registered architecture outline and dependencies, and documented provisional backend architecture. - Rules engine and loan approvals: implemented NotInInternalDebtsRule, RuleEvaluator, and ApprovalService; replaced deprecated DTOs and updated tests to drive an automated decision workflow (pre-approval, pre-denial, or need review). - DTO cleanup and naming consistency: removed unused DTOs, updated mappings, moved term -> MonthsHired from RentingRequest to VehicleRequested, and renamed FinalMonthlyfee to QuotaFinal to improve clarity. - Tests and documentation updates: updated tests for the new rules engine and provided a documented architecture reference. Major bugs fixed: - Cleaned up DTO usage and references (removing unused DTOs, updating mappings). - Naming corrections and refactors (MonthsHired, QuotaFinal) to ensure consistency across models and services. - Dependency alignment and scaffolding adjustments to stabilize the baseline. Overall impact and accomplishments: - Establishes a scalable backend foundation for the renting platform, enabling faster feature delivery and easier maintenance. - Enables automated decision workflows for loan approvals, reducing manual interventions and accelerating pre-approval paths. - Improves code quality and onboarding through architectural documentation and consistent naming.”

Activity

Loading activity data...

Quality Metrics

Correctness85.0%
Maintainability83.2%
Architecture82.6%
Performance77.2%
AI Usage22.8%

Skills & Technologies

Programming Languages

JavaMarkdownPropertiesSQLShellXML

Technical Skills

API DesignAPI DevelopmentBackend DevelopmentCode OrganizationCode ReversionDTO DesignData MappingDatabase DesignDatabase InteractionDatabase ManagementDatabase ModelingDependency ManagementDocumentationEntity DesignError Handling

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

Jesus-Santos-babelgroup/Proyecto-Final

Apr 2025 May 2025
2 Months active

Languages Used

JavaMarkdownShellPropertiesSQLXML

Technical Skills

API DevelopmentBackend DevelopmentCode OrganizationCode ReversionDTO DesignDatabase Design

Generated by Exceeds AIThis report is designed for sharing and indexing