M.S., Data Science, Michigan Technological University
B.S., Computer Science, Harare Institute of Technology
Cletus's research focuses on artificial intelligence, large language models, and machine learning systems, particularly in retrieval-augmented generation (RAG), natural language processing, and AI system evaluation. Prior to his graduate studies, Cletus gained several years of experience in software engineering and enterprise system development, working on large-scale applications and data-driven platforms. He has contributed to the development of AI-powered tools for document analysis, question generation, and knowledge retrieval. In addition to his work in computing, he has experience working with electrical and power systems, with an interest in how data science and AI can be applied to energy systems, power monitoring, and data center infrastructure.
B.S., Telecommunications Engineering, Kwame Nkrumah University of Science and Technology
Prince Tawiah is a Master’s student in Data Science at Michigan Technological University. His work focuses on machine learning, energy systems analytics, and large scale data modeling. His research studies energy demand patterns in AI data centers and the computational infrastructure supporting large scale machine learning. Before graduate school, Prince worked as flight technician at Zipline International - Ghana, where he supported drone logistics operations with maintenance, operational analytics and data driven decision tools. His research interests include AI infrastructure energy modeling, machine learning systems analysis, applied data science for large scale computing systems and autonomous transportation.