Raghav Chandra

About Raghav Chandra

I’m a passionate Full-Stack Developer with expertise in SAP CAP (Cloud Application Programming Model) and Node.js, skilled in building scalable, intelligent, and user-centric enterprise solutions.On the frontend, I work with HTML, CSS, JavaScript, Typescript and SAPUI5/Fiori Elements, creating responsive and intuitive interfaces that align with modern UX/UI principles.On the backend, I specialize in Node.js, Express.js, and CAP, developing robust business logic, OData, and RESTful APIs that ensure seamless integration across systems. I’m also experienced with SQL and NoSQL databases for efficient data modeling and performance optimization.Beyond core development, I’m actively exploring AI and Generative AI technologies, particularly within the SAP ecosystem — leveraging tools like SAP Joule, SAP Build Code, and SAP AI Core to accelerate intelligent app development and enhance user experiences through automation and AI-driven insights.I follow Agile practices, maintain clean coding standards, and collaborate effectively using Git for version control. My strong analytical and debugging skills enable me to deliver reliable, maintainable, and high-performing solutions.With a strong focus on innovation, automation, and user value, I strive to bridge traditional enterprise development with the power of AI-driven transformation in the SAP landscape.

Experience

1. Development Associate Consultant (T1l3)

   SAP

   Apr 2026 — Present · Gurugram, IN

   Promoted to T1L3, currently working on building AI-driven and Joule-enabled enterprise applications on SAP BTP using SAP CAP and SAP’s AI ecosystem-> Designed and developed applications using SAP CAP (Node.js) with advanced CDS data modeling-> Built and integrated AI-powered solutions using SAP AI Core & AI Launchpad-> Worked on Joule (SAP’s AI copilot) integration to enable intelligent user interactions -> Developed intelligent automation use cases including prediction, classification, and decision support-> Integrated machine learning models into business processes via OData/REST APIs-> Contributed to end-to-end AI workflows – from model deployment to application consumption-> Enabled context-aware, conversational AI experiences within enterprise applications-> Focused on scalable, cloud-native architecture and performance optimization

Education

• Arya College of Engineering and IT

  Bachelor of Technology - BTech, Computer Science