Highly motivated Computer Science graduate seeking opportunities to apply skills and gain real-world experience in the IT field while expanding knowledge and contributing to company success.
Graduate Teaching Assistantship (GTA):
Built a web-based scheduling system with HTML, CSS, PHP, and JavaScript to optimize GTA scheduling. Designed a centralized platform enabling administrators to manage user roles, schedules, and conflicts seamlessly. Enhanced departmental efficiency with a reliable, user-friendly scheduling solution.
Skin Cancer Detection:
Designed and implemented an image analysis system using Python and OpenCV to identify skin diseases. Trained a machine learning model on a large dataset to improve detection accuracy and reliability. Applied advanced image processing techniques to assist in early detection and diagnosis of skin cancer.
Smart Inventory Management Using RFID
Developed an RFID-based inventory system to streamline stock tracking and management. Used C, C++, Arduino IDE, PLX-DAQ, and IoT tools to build and integrate the system. Created a user-friendly app for stock monitoring and notifications for low inventory levels. Gained expertise in IoT automation, real-time data acquisition, and inventory control.