Harsh Chaturvedi

I’m a 2025 Computer Science & Engineering graduate from Chandigarh University, currently working on Generative AI and Large Language Model (LLM) based applications at Zensar Technologies. My core focus is on building AI-powered, scalable systems, combining backend engineering with GenAI to create intelligent, production-ready applications. I enjoy working on: • Generative AI (GenAI) and LLM-based applications • Prompt engineering and AI agent workflows • Retrieval-Augmented Generation (RAG) systems • Backend development using Node.js, FastAPI, and REST APIs • Scalable architectures, real-time systems, and cloud deployments I have built several hands-on GenAI projects, including: • A RAG-based chatbot for document intelligence using LangChain and FAISS • A multi-agent AI system for automated travel planning using LLMs and tool calling • A Text-to-SQL application enabling natural language database queries Tech stack: GenAI / LLM: LangChain, LlamaIndex, Groq API, Gemini API, RAG, AI Agents Backend: Node.js, FastAPI, REST APIs Databases: MongoDB, PostgreSQL, Redis Cloud & Tools: AWS (Basics), Docker, CI/CD, GitHub Actions I’m passionate about solving real-world problems using AI and building intelligent, scalable systems. Always open to learning, collaboration, and working on impactful GenAI solutions.