AI Engineer

Muhammad F. is an AI Engineer with several years of experience in developing production-ready applications, specializing in AI-driven tools and automation pipelines. Muhammad's core stack includes FastAPI, LangChain, large language models (LLMs), Django REST Framework, and AWS services such as RDS, EC2, and S3. He builds secure and scalable REST APIs, integrates machine learning with web and mobile platforms, and designs robust retrieval-augmented generation (RAG) systems and chatbots. His work also involves deploying cloud-based solutions using Docker and Postman. At Silicon Nexus, Muhammad led the development of the Aurelia AI assistant, reducing support load by over 40% for crane operations. He also developed an NCERT-based educational RAG system and a Math Question Generator, enhancing learning experiences with contextual questions and gamification. Previously, at Knowledge Streams, he improved model accuracy and runtime efficiency through feature engineering and model optimization. Muhammad holds a Bachelor of Science in Computer Science from GIFT University and certifications in IBM Data Science, Generative AI, and Machine Learning. He is well-suited for roles focused on advanced NLP, machine learning model deployment, and scalable AI-driven solutions.