Faisal M.

- Engineered Flavery, a high-quality Android restaurant app, utilizing Kotlin, Jetpack Compose, and the MVVM architecture, showcasing mastery in modern Android development. - Integrated essential features like search, recommendations, user registration with data storage, cart management, field validation, and navigation, demonstrating adept problem-solving skills and technical proficiency in crafting intricate mobile applications. - Employed advanced components such as Retrofit, Coroutines, LiveData, ViewModel, and Room database, underscoring a comprehensive grasp of the Jetpack library and adeptness in seamlessly integrating diverse Android libraries and frameworks.

- Implemented three classification models: logistic regression, decision trees (single decision tree, random forest, and XG_Boost), and a neural network. - Conducted training and validation of these models using a 5-fold cross-validation technique, ensuring accurate evaluation and preventing overfitting. - Achieved remarkable results, with the neural network model outperforming others and attaining an impressive F1-score of 0.7618. This underscores the effectiveness of neural networks in capturing complex, non-linear relationships within high-dimensional data.

- Employed Unity and C# for game development, utilizing the collaborative power of GitHub for seamless collaboration and version control. Following agile methodologies, we iterated rapidly, incorporated feedback, and refined gameplay mechanics. - Delivered a captivating gaming experience with engaging visuals, thrilling gameplay, and an immersive soundscape, reminiscent of the nostalgic arcade era.

- Contributed to the development of a connect-four game in C language. - Leveraged GitHub for streamlined project development, enabling simultaneous work on the same codebase without conflicts. The project consisted of two phases, with the second phase incorporating a single-player mode featuring three difficulty levels. The game operates through the command prompt, and the bot employs a recursive minimax algorithm for strategic moves. - The successful development of the game was greatly facilitated by the use of GitHub and the use of the collaborative approach

- Managed the technical and programming aspects of a blood donation management system project, collaborating with teammates who handled the theoretical components. The system featured a user-friendly GUI connected to a MySQL database, allowing employees to retrieve data based on specific queries and stored procedures. - Implemented functionalities for adding, deleting, and updating data. The system included a sign-in page providing access for both admin and regular users, with the admin having additional permissions. Developed using Java GUI and Eclipse IDE, the project resulted in a seamless user experience.