Dynamic Android Developer with over 2 years of experience at NCR Voyix. Proficient in Java and C++ within MVVM architecture, enhancing user experience through innovative feature development and automated testing with TypeScript and Node.js. Exhibits strong problem-solving abilities in API integration and code reviews, guaranteeing delivery of high-quality, dependable applications.
Fire Detection - Developed a Convolutional Neural Network (CNN) model to accurately detect fire in images and video frames for early alert systems., Plant Disease Detection - Implemented a machine learning model to identify plant leaf diseases using image classification techniques.
Deployment automation, NCR Voyix - automated build deployment pipelines using Jenkins, reducing manual intervention, improving deployment consistency Created and maintained shell scripts to configure build environments, deploy artifacts, and manage service restarts on Azure Virtual Machines, and implemented GitHub workflows.