EXCEEDS logo
Exceeds
Mahdi Karimi Cph

PROFILE

Mahdi Karimi Cph

Over a two-month period, contributed to the FrederikMoestrup/ALF4HUB repository by developing three core features focused on user safety and engagement. Built an offensive language moderation system using Java and Javalin, introducing a controller-service architecture that scans user inputs against a predefined list and returns status feedback, with robust unit and integration testing to ensure reliability. Expanded the platform’s notification capabilities by integrating a Hibernate-backed notification entity, enhancing JWT-based authentication, and updating React-based frontend routing and UI to support real-time notifications for team application workflows. Emphasized backend design, API development, and test coverage to support maintainable, scalable feature growth.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

6Total
Bugs
0
Commits
6
Features
3
Lines of code
2,597
Activity Months2

Work History

May 2025

4 Commits • 2 Features

May 1, 2025

May 2025 performance summary for FrederikMoestrup/ALF4HUB: End-to-end notification capabilities wired into authentication and team-application workflows. Backend work includes adding a Notification entity to Hibernate and enhancing JWT parsing to carry userId; frontend and API facade routing updated to support notifications and login flows. Implemented team applications flow with notifications (accept/reject) with backend/API/UI updates and tests. Notable fixes addressed notification display and badge logic (badge visibility when there are no new notifications). Business value: improved user awareness, faster feedback loops for team applications, and a scalable foundation for in-app messaging. Technologies demonstrated: Java/Hibernate, JWT handling, REST API facade integration, frontend routing, UI notification badge, and test coverage.

April 2025

2 Commits • 1 Features

Apr 1, 2025

Monthly summary for 2025-04 (FrederikMoestrup/ALF4HUB). Key features delivered this month: Offensive Language Moderation — a controller and service to detect offensive words in user text inputs, using a predefined offensive terms list and returning a status of either accepted or contains_offensive. This feature enables safer user interactions and policy compliance. The work includes backend tests ensuring detection logic is exercised and remains robust against regressions. No major bug fixes were reported this month. Overall impact: improved content safety, reduced risk of policy violations, and a foundation for further moderation capabilities. Technologies/skills demonstrated: backend service architecture, controller-service pattern, unit/integration testing, commit traceability, and list/service integration.

Activity

Loading activity data...

Quality Metrics

Correctness85.0%
Maintainability80.0%
Architecture76.6%
Performance73.4%
AI Usage23.4%

Skills & Technologies

Programming Languages

CSSHTMLHTTPJSXJavaJavaScript

Technical Skills

API DevelopmentAPI IntegrationAPI TestingAuthenticationBackend DevelopmentDatabase ConfigurationDatabase ManagementFrontend DevelopmentJavalinObject-Oriented ProgrammingReactTestingUnit Testing

Repositories Contributed To

1 repo

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

FrederikMoestrup/ALF4HUB

Apr 2025 May 2025
2 Months active

Languages Used

JavaCSSHTMLHTTPJSXJavaScript

Technical Skills

API DevelopmentBackend DevelopmentJavalinUnit TestingAPI IntegrationAPI Testing