ABOUT Tatenda Duncan Kavu

Tatenda has extensive experience in both theoretical and experimental work in machine learning and data mining. He has recently joined APHRC and will primarily focus on projects that explore AI in healthcare. In the past, he has developed recommendation systems and built tools using machine learning frameworks, tools, and libraries such as PyTorch, TensorFlow, Kubeflow, and TensorFlow Extended for MLOps. He has also worked with large language models (LLMs) and LangChain, data mining platforms like Apache Spark, and knowledge bases using tools such as Protégé and Drools. Additionally, he is a fan of building software agents that utilize prompt engineering techniques to communicate with both open-source and enterprise LLMs.

Tatenda has 12 years of experience in academia and a background in computer science, holding a bachelor’s, master’s, and PhD in the field. He has worked as a lecturer, consultant, and, most recently, as a postdoctoral fellow on a project funded by the South African Medical Research Council, focusing on AI for healthcare. He has also conducted research and published work in Natural Language Processing, Recommendation Algorithms, and Computer Vision.