Summary
Rockefeller R is a data scientist with a decade of experience building generative AI and agentic systems, currently shaping LLM-powered pipelines and RAG solutions for legal tech at Morae. He blends rigorous academic training—a PhD in Applied Mathematics in progress and an M.Sc. in Big Data—with practical expertise deploying GenAI to automate legal-document workflows and extract structured insights. As an educator and former lecturer at Cape Peninsula University of Technology and AIMS, he routinely translates complex algorithms into teachable, production-ready code and has supervised student research on urban growth and service delivery. His background includes hands-on work with ELK stacks for real-time analytics and API-driven geospatial research for fiscal decentralization, showing a rare mix of research, teaching, and applied engineering. Based in Cape Town, he pairs cross-continental research stints (RWTH Aachen) with practical product delivery, bringing domain-aware ML solutions to regulated sectors. Notably, he describes himself on GitHub as "eleve du reel," reflecting a practitioner mindset grounded in real-world problem solving.
10 years of coding experience
3 years of employment as a software developer
Postgraduate Certificate in Business Management Business Analytics and Strategy, Postgraduate Certificate in Business Management Business Analytics and Strategy at ESMT Berlin
Master of Science (M.Sc.) Physics (GeoPhysics), Master of Science (M.Sc.) Physics (GeoPhysics) at University de Yaoundé I
Bachelor of Science (B.Sc.) Physics, Bachelor of Science (B.Sc.) Physics at University of Douala
Master of Science (M.Sc.) Big Data and Machine learning, Master of Science (M.Sc.) Big Data and Machine learning at African Institute for Mathematical Sciences (AIMS)
Doctor of Philosophy - PhD Applied Mathematics (Data Science), Doctor of Philosophy - PhD Applied Mathematics (Data Science) at Stellenbosch University
French, English