
Menna Srour delivered robust feature development and UI enhancements across projects such as Cairo-Squad/Movio, EvolveFit, and TheChance101/MENA-mobile. She implemented modular search algorithms, improved onboarding and localization, and introduced reusable UI components to streamline user experience. Her technical approach emphasized maintainable architecture, leveraging Kotlin, Jetpack Compose, and dependency injection frameworks like Dagger Hilt. In Movio, she expanded test coverage and CI/CD reliability, while in EvolveFit, she built dynamic theming and profile management. For MENA-mobile, she refined transaction history UX with custom components. Menna’s work consistently focused on code clarity, extensibility, and delivering business value through thoughtful engineering solutions.

October 2025 monthly work summary for TheChance101/MENA-mobile focusing on delivering UI enhancements, cleanup, and polishing the transaction history UX, aligning with the upcoming UI refresh and delivering tangible business value.
October 2025 monthly work summary for TheChance101/MENA-mobile focusing on delivering UI enhancements, cleanup, and polishing the transaction history UX, aligning with the upcoming UI refresh and delivering tangible business value.
August 2025 monthly summary for Cairo-Squad projects Movio and EvolveFit. Focused on delivering business value through improved search reliability, robust refresh and error handling, UI polish, and test coverage. Foundational work on theming, localization, and user profiles enabling faster, safer delivery of future features.
August 2025 monthly summary for Cairo-Squad projects Movio and EvolveFit. Focused on delivering business value through improved search reliability, robust refresh and error handling, UI polish, and test coverage. Foundational work on theming, localization, and user profiles enabling faster, safer delivery of future features.
July 2025 monthly performance summary for Cairo-Squad engineering across Movio and EvolveFit. Focused on delivering business value through robust CI/CD, expanded test coverage, UI/UX enhancements, and design-system improvements. Key outcomes include automated, reliable build/test pipelines; broader module and data-source test coverage; user-facing UI improvements that enhance onboarding, usability, and accessibility; and reusable UI components that reduce duplication across repos.
July 2025 monthly performance summary for Cairo-Squad engineering across Movio and EvolveFit. Focused on delivering business value through robust CI/CD, expanded test coverage, UI/UX enhancements, and design-system improvements. Key outcomes include automated, reliable build/test pipelines; broader module and data-source test coverage; user-facing UI improvements that enhance onboarding, usability, and accessibility; and reusable UI components that reduce duplication across repos.
June 2025 (2025-06) monthly summary for Moscow-Squad/Tudee-App focused on branding refresh, localization expansion, and UI polish. Delivered tangible business value by strengthening brand presence, enabling wider audience access, and improving user experience through resource-driven localization and UI tweaks.
June 2025 (2025-06) monthly summary for Moscow-Squad/Tudee-App focused on branding refresh, localization expansion, and UI polish. Delivered tangible business value by strengthening brand presence, enabling wider audience access, and improving user experience through resource-driven localization and UI tweaks.
April 2025: Delivered end-to-end Meal Name Search using KMP for exact matches and Levenshtein for fuzzy matching, with UI input, results display, and a modular architecture (interfaces, DI, dedicated UI classes). Built a pluggable search algorithm framework with separate KMP and Levenshtein implementations and a combination class to orchestrate results. Introduced an interface for search algorithms to improve readability and extensibility. Refactored search components for readability, renamed CombineSearchAlgorithms to SelectionOfSearchAlgorithms, and integrated dependency qualifiers to ensure correct wiring. Implemented unit tests for search algorithms and performed targeted refactors to improve maintainability.
April 2025: Delivered end-to-end Meal Name Search using KMP for exact matches and Levenshtein for fuzzy matching, with UI input, results display, and a modular architecture (interfaces, DI, dedicated UI classes). Built a pluggable search algorithm framework with separate KMP and Levenshtein implementations and a combination class to orchestrate results. Introduced an interface for search algorithms to improve readability and extensibility. Refactored search components for readability, renamed CombineSearchAlgorithms to SelectionOfSearchAlgorithms, and integrated dependency qualifiers to ensure correct wiring. Implemented unit tests for search algorithms and performed targeted refactors to improve maintainability.
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