-This research was selected by IEEE AIIoT 2024 and awarded the Best Paper for its significant contributions to the field.-Developed a novel deep learning approach that improved accuracy by over 10% compared to industry-standard methods, eliminating the need for feature engineering.-Conducted an extensive comparison of various deep learning and machine learning approaches on a single large dataset, demonstrating the superiority of the new architecture.

- Learned and performed assigned work- Accepted responsibilities to work cooperatively with faculty, staff and other students

-Collaborated with front-end developers to integrate server-side logic into dynamic and responsive user interfaces, enhancing user experience and engagement.-Utilized testing programs such as functional, regression, and integration systems, increasing test coverage by 20%.-Deployed applications for scalability and reliability across telecommunication systems, ERP systems, and e-commerce platforms.-Used JIRA for bug tracking and issue management, reducing issue resolution time by 10%.-Implemented Agile methodologies for iterative development and frequent release management.-Optimized SDLC models and designed test cases, improving test efficiency and accuracy.