About me
Dr. Louisa Muparuri leads national Examination Systems Development at ZIMSEC, advancing AI-driven assessment, data analytics, and secure ICT while building capacity and ethical governance across public education systems.
Dr. Louisa Muparuri is a technology executive and public-sector innovator known for leading end-to-end Examination Systems Development in national assessment. As Director of ICT & Examination Systems Development at the Zimbabwe School Examinations Council (ZIMSEC), she drives digital transformation across high-stakes public examinations;aligning secure ICT infrastructure, data governance, and analytics with the core mission of fair, reliable, and timely assessment for learners nationwide.
Her portfolio spans the full assessment lifecycle: candidate registration and identity management; item banking and curriculum-aligned item generation; secure test administration; digital marking and moderation; malpractice detection and investigation workflows; and results analytics and reporting. She has spearheaded prototypes and production systems that apply AI and data science to real-world assessment challenges, including the AI Item-Generation at Scale initiative and an AI-powered Malpractice Detector that combines OCR/handwriting analysis with LLM-based red-flagging and auditable evidence trails. Complementing these are enterprise-grade data platforms;SQL Server–backed analytics, SharePoint-integrated process automation, and selective use of local LLMs; all designed with security, privacy, and explainability at the center.
A committed capacity-builder, Dr. Muparuri mentors technical teams, exam administrators, and educators through hands-on training in data analytics, AI literacy, and digital quality assurance. She has taught graduate-level computing courses. As an Executive Committee member of the Computer Society of Zimbabwe’s Women in ICT Chapter, she amplifies pathways for girls and early-career women through mentoring circles, workshops, and industry partnerships.
Dr. Muparuri is a frequent speaker and panelist at regional and international forums on AI in Public Assessment, EdTech, and Responsible AI. Her talks spotlight practical frameworks for bias mitigation, model auditability, and secure data pipelines; bridging the gap between theory and the constraints of low-resource settings. Across all her work, she is a public-service driver for technology innovation: framing roadmaps, standards, and governance models that make digital reforms durable, ethical, and scalable.
Core strengths: ICT strategy and governance • National assessment systems • AI/ML for education • Data engineering & analytics • Productization of prototypes • Risk, security & compliance • Team development & coaching • Multi-stakeholder partnership building
Signature outcomes: shorter exam processing cycles; stronger integrity controls; scalable item development; richer analytics for decision-making; and sustainable skills transfer to internal teams.
Other Memberships/Affiliations
Degrees:
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