Dedicated software engineer with a strong commitment to learning new technologies and applying innovative solutions. Proven ability to support projects from conception to post-release, ensuring high-quality outcomes. Expertise in developing efficient code and enhancing user experiences. Focused on driving user engagement through ongoing development and novel software solutions.
Certifications
GPA:4.0
GPA: 7.9
Final Year Project:
Programming languages
Web and app development
Frameworks and tools
Database management
Other technical skills
Soft skills
This paper presents an assistive system developed using Google Vision API to help visually impaired individuals recognize both printed text and spoken words. The system captures images or audio and converts them into readable or audible output, enhancing accessibility. I contributed to designing the recognition logic, integrating APIs, and testing for usability.
This research focuses on applying Convolutional Neural Networks (CNNs) to satellite images for automated land cover classification. The goal was to support environmental monitoring by identifying urban, forest, and water bodies. I worked on dataset preparation, model training, and accuracy evaluation using Python and deep learning frameworks.
Member of ACM student chapter