Yuvraj Muthabathula

I’m a Full Stack Developer at GlobalLogic, building web UIs and dashboards for the QAD ERP system that integrate with QAD backends through REST API integrations. I work across React.js, JavaScript, Java, PostgreSQL, and Progress 4GL, and I also handle support tickets tied to full-stack issues.

I’ve driven practical improvements like introducing an AI-assisted ticket workflow—when a ticket is created, AI suggests solutions based on the title and description. I also implemented a way for users to find pre-existing solved tickets and use them as references to resolve new issues faster.

In addition to my production work, I build end-to-end projects such as an AI Incident Management System using Gemini, NLP/LLMs, WebSockets, and a React frontend with Material UI. I’ve also developed a Skin Cancer Classification deep learning model using CNNs and transfer learning (ResNet50, EfficientNet, VGG16), achieving over 80% classification accuracy; I’m Microsoft-certified as an Azure AI Engineer Associate.