Naved Khan — Software Engineer

I am Naved Khan, a Senior Generative AI Engineer at Progression School, passionate about teaching, mentoring, and building real-world AI systems. My core work revolves around training students, working professionals, and engineers in Generative AI and Agentic AI, helping them move from theory to production-ready projects. I specialise in simplifying complex AI concepts and turning them into practical, hands-on learning experiences. What I Teach & Build Generative AI & Agentic AI systems Retrieval-Augmented Generation (RAG) LangChain, LangGraph, CrewAI, AutoGen Multi-agent architectures & workflows Model Context Protocol (MCP) tools FastAPI-based AI backends Python, databases, and system design Full Stack Development Data Structures & Algorithms My teaching approach is project-first and industry-focused. Every concept is explained using real-world use cases, clean architecture, and common pitfalls developers face while building AI systems. Teaching Philosophy I believe learning AI is not about tools alone, but about how systems think, reason, and collaborate. My sessions focus on: Designing scalable RAG pipelines Building intelligent agents that work together Structuring AI-ready backend systems Converting ideas into working AI products Industry Exposure Alongside teaching, I work on client AI projects, helping teams integrate AI into existing applications and transform traditional systems into AI-powered solutions. This keeps my teaching practical, relevant, and aligned with industry needs. If you’re learning Generative AI, building AI agents, or designing intelligent systems — I help you do it the right way.

Stackforce AI infers this person is a Generative AI specialist with a focus on educational and practical implementations in tech.

Location: New Delhi, Delhi, India

Experience: 4 yrs 9 mos