Ghalib Ahmed Tahir

An Android application that works like Talking Tom. We developed and implemented many animations on the application. It is also user-friendly and includes animations of various gestures that bring the fun Minion character to life.

An application that consists of a color palette and mandala pages. I designed my own user-friendly color palette for the application. Users can select from different color palettes, paint the page, and share them with other users.

An Android application that provides an efficient and user-friendly platform for administrators to manage and monitor fleets in real time.

With integrated GPS tracking, the admin can easily locate each vehicle on the map, ensuring better route planning, safety, and operational transparency. The app allows seamless communication between the fleet manager and drivers, reducing delays and misunderstandings during transit. Through the dashboard, the admin can view vital details such as fuel usage, driver activity, vehicle performance, and maintenance schedules, which contributes to reducing operational costs and increasing fleet longevity.

Notifications and alerts help the admin stay updated on key events like deviations from planned routes, engine issues, or unauthorized stops. The application also supports digital record-keeping for trip logs, delivery confirmations, and driver behavior, which helps streamline reporting and compliance with regulatory standards. In case of emergencies, the admin can quickly respond through the app, ensuring driver safety and timely issue resolution.

A multi-agent framework that uses different types of agents to automatically migrate the application to the cloud when local resources are exhausted. It also manages the number of cloud instances required to process the application on the cloud.

An application that intelligently auto-scales cloud resources according to the application workload.

If the application workload increases, more resources are allocated to it, and resources are de-allocated automatically when the workload decreases. I used machine learning techniques to predict future workloads and dynamic programming to find the optimized scaling plan.

An application that allocates cloud resources within the user-defined budget constraints.

For example, if the user wanted to auto-scale a web application within a $500 budget limit annually, the application provides the user with maximum performance within that budget limit. There is also an Android version of this application through which the user can keep track of current settings, performance, and optimal budget required for auto-scaling (in this example).