Developed the backend infrastructure for a mobile app using .NET Core, integrating features like Stripe for secure payments and an AI-based recommendation system to enhance user experience. Additionally, we implemented Web Sockets for real-time communication and optimized the app's performance by utilizing Data Transfer Objects (DTOs) and image compression techniques.

Collaborated with Dr. Mohsen Saad (Associate Dean, SBA) on diverse research initiatives, specializing in: Utilizing Pandas and Numpy in Python for advanced data analysis of large datasets. Conducting comprehensive data collection through library research and various secondary sources. Efficiently managing tasks, ensuring timely scheduling, organization, and project reporting.

Conducted comprehensive software testing, thoroughly identifying and documenting bugs to contribute to the improvement of overall system stability. Tested ASP.NET backend API endpoint calls and implemented data validation for enhanced data integrity. Developed robust automation and scraping scripts, organized the gathered information into CSV/Excel format, and provided valuable leads to the marketing team for further investigation.

Created and designed a systematic Asset Management Web Application, taking charge of both front-end and back-end aspects. Implemented a responsive and appealing user interface using HTML and CSS for the front-end of the application. Leveraged ASP.NET to create backend services, ensuring seamless functionality and optimal user experience. Incorporated secure login features to enhance user authentication and access control. Optimized Microsoft SQL database for efficient data management and retrieval.