Muhammed Thajudheen

AI Engineer with hands-on experience in building intelligent backend systems using FastAPI, LLMs, and Retrieval-Augmented Generation (RAG). Skilled in designing scalable API architectures, integrating large language models via Ollama, and optimizing performance using Redis and asynchronous processing. Passionate about developing production-ready AI solutions for real-world applications.

AI Engineer Intern at Nighwan Technology Pvt Ltd (2026-01 – Present)

• Developed AI-powered backend services using FastAPI for real-time query processing
• Built Retrieval-Augmented Generation (RAG) pipelines for dynamic API-based responses
• Integrated LLM models via Ollama to enable intelligent automation workflows
• Designed scalable architecture handling 300+ enterprise APIs dynamically
• Improved performance using Redis caching and asynchronous processing

Master of Computer Applications – Pondicherry University (2024 – 2026)

Bachelor of Computer Science (Honours) – Hansraj College, University of Delhi (2021 – 2024)