AI Engineer

Muhammad M is an AI Engineer with several years of experience in machine learning systems, data engineering, and applied AI solutions. He works extensively with Python, SQL databases like PostgreSQL and MySQL, and modern AI architectures such as transformer-based models and CNNs. Muhammad builds production-grade ML pipelines, intelligent automation systems, and LLM-powered systems using tools like LangChain and OpenAI APIs. His MLOps expertise includes Docker, Kubernetes, and deploying scalable AI services on AWS and Azure. At CareCloud, Muhammad developed a QLoRA-based LLM for healthcare claims, automating billing processes and reducing manual data entry by 80%. He also built a CatBoost-based predictive claim denial prevention system with 92% accuracy, deployed as a FastAPI service on AWS EC2. Additionally, he set up a LiDAR-based object detection system achieving 35 FPS with 95% detection accuracy for autonomous vehicles. Muhammad holds a Bachelor of Computer Engineering from the National University of Sciences & Technology (NUST). He is well-suited for roles focusing on AI model deployment, automation, and building scalable AI solutions in healthcare and autonomous systems.