
AI governance in Africa now depends on implementation capacity, from technical controls and evaluation to oversight of AI for scientific discovery.
Building practical AI systems and writing about data, agents, governance, and responsible innovation.
I am a Data Scientist and AI Engineer focused on building practical systems that connect machine learning, data engineering, agentic workflows, and responsible AI. My work includes developing predictive models, data pipelines, decision-support tools, and AI agents designed for real world use. I am particularly interested in how AI systems reason, retrieve information, use tools, manage risk, and operate reliably within complex environments. Alongside technical development, I contribute to AI governance work examining how responsible AI principles can be translated into practical policies, controls, and implementation strategies. On this blog, I write about AI engineering, data science, agentic systems, AI governance, responsible innovation, and lessons from the systems I build and research.
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