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Hager-Gomaa

PROFILE

Hager-gomaa

Hagar Gomaa developed and refactored core features across Stockholm-Squad’s Plan-Mate, Finance-Tracker, and Food-Change-Mood repositories, focusing on backend reliability, data integrity, and user experience. She implemented transaction viewing with robust ID validation in Finance-Tracker and delivered an easy meal suggestion engine in Food-Change-Mood, integrating CSV parsing and error handling. In Plan-Mate, Hagar expanded authentication coverage, built an end-to-end user onboarding flow with password hashing, and led broad codebase and data model refactors to improve maintainability. Her work leveraged Java, Kotlin, and test-driven development, resulting in cleaner architecture, stronger test infrastructure, and more reliable, data-driven application workflows.

Overall Statistics

Feature vs Bugs

95%Features

Repository Contributions

88Total
Bugs
1
Commits
88
Features
19
Lines of code
4,704
Activity Months2

Work History

May 2025

54 Commits • 15 Features

May 1, 2025

May 2025 performance summary for Stockholm-Squad/Plan-Mate. Delivered a broad Core Codebase Refactor, Data Models Refactor, and extensive mapping enhancements, along with UI refinements and tests. Implemented Audit System Mapper Enhancement and additional mappers for application state and tasks. A critical bug fix addressed state handling and merge conflicts, stabilizing edit/delete workflows. Result: improved maintainability, data integrity, and UI reliability; faster, safer feature delivery; stronger test coverage and infrastructure. Technologies/skills demonstrated include large-scale refactoring, data modeling and mapping patterns, repository layer alignment, UI testing, local datetime handling, and test infrastructure.

April 2025

34 Commits • 4 Features

Apr 1, 2025

April 2025: Delivered key features across three repos with a focus on reliability, UX, and business value. Finance-Tracker introduced Transaction Viewing with robust ID validation, consolidating input validation to reduce user errors and improve data integrity. Food-Change-Mood added Easy Meal Suggestions via GetEasyFoodSuggestionsUseCase, including repository/UI/CSV integration, up to 10 shuffled results, and strong error handling when no suggestions are found. Plan-Mate released two major streams: expanded authentication test coverage to strengthen security and reliability, and an end-to-end Add User flow (UseCase, UI, persistence) with password hashing and thorough tests. Across projects, enhancements to test infrastructure and targeted refactors improved maintainability and code quality. These changes enhance user confidence, reduce error-prone workflows, and accelerate onboarding and data-driven decisions by delivering reliable, well-tested functionality.

Activity

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Quality Metrics

Correctness87.2%
Maintainability88.2%
Architecture80.6%
Performance79.0%
AI Usage20.4%

Skills & Technologies

Programming Languages

JavaKotlin

Technical Skills

Backend DevelopmentCSV HandlingCSV ParsingCode ClarityCode CleanupCode OrganizationCode ReadabilityCode RenamingConsole UI DevelopmentData HandlingData MappingData ModelingData SerializationData Source IntegrationDate Handling

Repositories Contributed To

3 repos

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

Stockholm-Squad/Plan-Mate

Apr 2025 May 2025
2 Months active

Languages Used

JavaKotlin

Technical Skills

Backend DevelopmentCode OrganizationData Source IntegrationJUnitJavaKotlin

Stockholm-Squad/Food-Change-Mood

Apr 2025 Apr 2025
1 Month active

Languages Used

JavaKotlin

Technical Skills

Backend DevelopmentCSV ParsingConsole UI DevelopmentData HandlingDependency InjectionError Handling

Stockholm-Squad/Finance-Tracker

Apr 2025 Apr 2025
1 Month active

Languages Used

Kotlin

Technical Skills

Backend DevelopmentData HandlingKotlinValidation Logic

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