Mohammed Najmudeen K

Full Stack AI Engineer with hands-on experience building LLM-powered conversational applications end-to-end using Python, FastAPI, Google ADK, and Model Context Protocol (MCP). Worked on Retrieval-Augmented Generation (RAG), agentic AI workflows, backend API development, and React-based frontend integration for enterprise AI solutions. Also builds and ships independent full-stack AI projects, including a self-built RAG-powered chat and knowledge base platform.

AI Engineer Intern at Nimir Corporation (2026-04 – 2026-07)

• Built and shipped 5+ MCP tools end-to-end – from backend logic through the React UI – covering menu search, cart management, event planning, quotation, and recommendations.
• Designed the AI layer: LLM tool orchestration via Google ADK and Model Context Protocol (MCP), plus RAG pipelines grounding agent responses in real data.
• Built MongoDB-backed multi-turn conversation memory, supporting multi-step user sessions without losing context.
• Integrated the React frontend with live AI backend services and wrote an automated Pytest suite, reducing manual regression testing before releases.
• Collaborated in Agile sprints using Git and Jira, coordinating with product and frontend teams on feature delivery.

Backend Developer Intern at WoowLocal Technology Pvt Ltd (2025-12 – 2026-03)

• Built REST APIs from scratch using Django REST Framework, including JWT-based authentication and secure user session management.
• Integrated backend services with the frontend application, defining API contracts to unblock parallel development.
• Used MySQL for data modeling and Postman for endpoint testing across the development cycle.

BE in Electronics and Communication – Thanthai Periyar Government Institute of Technology (2021-11 – 2025-06)