Summary
Charles Yusuf is a Machine Learning Engineer and Researcher with eight years of experience building practical ML systems across speech, computer vision, and NLP, currently applying research-driven engineering at Trust Stamp. He holds an MS from Carnegie Mellon and a First Class BSc in Computer Science, blending rigorous academic training with hands-on product delivery from startups to research labs. Charles has led teams, managed projects end-to-end, and developed a deep speech-to-text model—evidence of his ability to move models from concept to production. His background spans UI/UX, backend engineering, and AWS deployment, allowing him to bridge research, product design, and scalable implementation. Based in Kigali, he brings a global perspective and a knack for turning complex research ideas into usable, real-world solutions.
7 years of coding experience
4 years of employment as a software developer
Senior School Certificate, Physical Sciences, Senior School Certificate, Physical Sciences at Mayflower School
Bachelor of Science (BSc), Computer Science - First Class Honours, Bachelor of Science (BSc), Computer Science - First Class Honours at Bowen University Iwo
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at Carnegie Mellon University
English, Spanish