Ayinde Oore-oluwa is an AI product manager and researcher passionate about building intelligent systems that solve real human problems. Her background sits at the intersection of AI research and product thinking. She thinks deeply about how AI systems should be designed: who they serve, what problem they actually solve, and how the technology is built to deliver that.

Ayinde Oore-oluwa is highly interested in AI product development, and has been actively exploring healthcare as a domain where intelligent systems can drive meaningful change. She recently completed an MSc in artificial intelligence and data science at the University of Hull, where her dissertation involved building a dual-phase AI system for chronic disease risk prediction and personalised intervention combining machine learning classification, behavioural clustering, and a conversational AI chatbot.

She is focused on translating research into real-world impact: defining the right problem, evaluating model outputs, and shipping solutions that genuinely work for users. She is always open to product development, research collaborations, and conversations about the future of intelligent systems in Africa and beyond.

Ayinde Oore-oluwa is an intern with

DARE UK (Data and Analytics Research Environments UK)