Muhammad Abdullah

I’m an AI Engineer focused on building and deploying production AI/ML systems that automate manual workflows and solve real-world problems. My experience spans LLM applications, real-time machine learning, backend engineering, data pipelines, and cloud infrastructure.

I’ve built real-time ML systems for operational classification, achieving approximately 80% accuracy on unseen production data, along with LLM-powered applications featuring streaming responses, contextual memory, and personalized recommendations.

I’ve also developed production APIs and desktop applications with LLM-based document and spreadsheet ingestion, anomaly detection across multiple procurement risk types, automated file processing, real-time alerts, and multi-tenant AWS architecture.

I work primarily with Python, FastAPI, AWS, Docker, PostgreSQL, LLM APIs, RAG, data pipelines, and CI/CD. I enjoy building AI systems end-to-end, from data and experimentation through backend architecture, integration, deployment, and reliable production operation.