Muhammad Hamza

Muhammad Hamza is an MSc Artificial Intelligence student at Brandenburg University of Technology (BTU Cottbus-Senftenberg), with nearly five years of industry experience in mobile and full stack engineering. His research focuses on fine-tuning and compressing small language models (SLMs) for embedded health monitoring systems, exploring techniques including LoRA/QLoRA, GPTQ/AWQ quantization, and structured pruning under real-world resource constraints. Prior to his studies, he built production-grade applications at EKM GmbH (Munich) and GoodBot GmbH (Freiburg), where his work spanned AI-powered platforms, agentic RAG systems, and Flutter-based interfaces deployed to millions of users.