Lawrence Muwonge

Lawrence is a dedicated MLOps and DevOps Engineer with a strong background in software development and machine learning operations, particularly within the healthcare sector. With a Bachelor’s degree in Computer Science from Makerere University, he has honed his skills in data science, AI, and cloud technologies. He has practical experience in building end-to-end machine learning pipelines, web and mobile applications, and optimizing High Throughput Computing (HTC) environments. His recent work at the African Center of Excellence for Bioinformatics and Data Intensive Sciences (ACE) includes developing AI-driven solutions such as a miscarriage risk prediction pipeline and handling the Machine learning operations of AI chatbot (HEAL) project that aims to improve pandemic preparedness in Uganda. His expertise extends to computer vision projects, including the detection of colorectal and breast cancer using deep learning, as showcased in multiple codeathons. As a passionate problem solver, he is committed to leveraging technology to drive impactful change, particularly in resource-limited healthcare settings, with a long-term goal of achieving health equity across Africa.