Yogesh User

I’m a Generative AI Engineer with a Mechanical Engineering background, and a strong foundation in Python, LLM APIs, and Retrieval-Augmented Generation (RAG). I focus on building practical AI systems that solve real business needs, not just demos.

I’ve worked across agentic workflows, vector database integration, and cloud-ready deployments. My toolkit includes LangChain, LangGraph, Microsoft Autogen, and CrewAI, along with n8n for automation, so I can design end-to-end solutions that move from idea to execution.

On the engineering side, I prioritize scalable and cost-efficient architectures for production use. I’ve also explored advanced concepts like model fine-tuning and Model Context Protocol (MCP), and I bring strong deployment habits with Docker, CI/CD, monitoring, and cloud integration.

I’m hands-on with projects such as a chat-based Recommendation System using RAG and agentic approaches, a Real-time AI Meeting/Interview Assistant using the Gemini Live API (screen, audio, and text with proactive guidance), and an AI-Driven Internship Portal that generates personalized internship projects, evaluates submissions, and suggests relevant job roles.