Lawrence Muwonge

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, i have honed skills in data science, AI, and cloud technologies. i have practical experience in building end-to-end machine learning pipelines, web and mobile applications, and optimizing High Throughput Computing (HTC) environments.

My recent work at the African Center of Excellence for Bioinformatics and Data Intensive Sciences (ACE) included developing AI-driven solutions such as a miscarriage risk prediction pipeline and handling the Machine learning operations of AI chatbot (HEAL) project that was aimed to improve pandemic preparedness in Uganda. My 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, i am 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.