Suraj Gupta

I’m a Full-Stack Developer focused on GenAI applications, building RAG-based systems, scalable APIs, and modern web apps using Next.js, FastAPI, and LLM integrations.

With Label Scan AI, I built a GenAI-powered system that extracts and analyzes nutritional data from product labels using OCR + LLMs. I implemented a RAG pipeline for ingredient text to generate contextual health insights, designed a FastAPI backend for image uploads and structured responses, and optimized prompt pipelines for accurate ingredient parsing and nutritional reasoning.

Previously, I developed Luen, a scalable invoice management platform with dynamic billing, tax calculations, and PDF generation, alongside a responsive UI with optimized state management. As a Full Stack Developer Intern at Trivolve Tech, I worked on a Web3 platform, improved UI performance and usability, built a Polymarket-style mobile app frontend with React Native, and integrated REST APIs in an agile environment to ship production-ready features.

I combine strong engineering fundamentals (DSA, OS, CN, OOP, REST, WebSockets) with a practical GenAI toolset (RAG, LLM APIs, Prompt Engineering, ChromaDB, embeddings, semantic search). I also published an IEEE paper on a Restaurant Recommendation System based on Cosine Similarity and earned a Dean’s List recognition for excellence in academics.