Data and AI engineer. I build data systems and practical AI for communities across Africa.
The work I do every day intersects data, AI, human development and social good.
Designing and building data pipelines, warehouses and processing systems. From messy raw sources to clean, queryable, useful data. My MSc dissertation sits in this space and won Distinction and the NUST Book Prize.
Building practical AI systems, not just running models: LLM integrations, offline-first AI for low-connectivity settings, and AI-augmented workflows. Recognised as AI Champion for MCC's SCAN region.
Technology only matters if it reaches the people who need it. I build for communities in Zimbabwe and beyond, designing and developing system architectures for low-resource environments, and I work with peacebuilding organisations across Africa.
Each experience built on the one before it.
Leading technology integration for peacebuilding programmes across Africa. I have trained MCC staff on the fundamentals of AI, demystifying AI, and the future of AI in the workplace. INSIGHT Regional Trainer for the SCAN region, MCC's programme and project management system.
Merit overall (74%) and Distinction for the dissertation (80%), the highest dissertation score in the cohort. Graduated on 17 September 2026 at the NUST 32nd Graduation Ceremony.
Co-founded QwantuTech to build software for the Zimbabwean market. I lead technical architecture and engineering across the product portfolio, including QwantuDocs, a cloud-based billing platform with live paying customers in Zimbabwe.
Joined API in January 2021 to build and manage digital infrastructure for peacebuilding work. Built Amani LMS, a learning management PWA serving programme participants across multiple African countries.
Served a full academic year as Technology Assistant through MCC's International Volunteer Exchange Program, managing school technology infrastructure and supporting digital learning programmes.
Led WordPress development at GoDigital Zimbabwe, putting my Computer Science foundation to work on real websites, themes and client builds.
Undergraduate degree in Computer Science, the foundation for everything that followed.
Selected work across peacebuilding, fintech, education and platform development.
Cloud-based business document and billing SaaS for Zimbabwean SMEs. Live with paying customers. Handles invoicing, quotations and business document generation.
Learning management PWA for the Africa Peacebuilding Institute, designed for low-bandwidth settings across several African countries. Course delivery, learner tracking and programme management.
AI-powered workflow automation for MCC Zimbabwe's accounting team. Automates repetitive data entry, reconciliation and report generation, cutting manual processing time significantly.
Research in Big Data Science at NUST with the highest dissertation score in the cohort (80%, Distinction). Awarded both the NUST Book Prize and the Al Eswatini Prize for Most Outstanding MSc Dissertation in Data Science.
Three papers written during my MSc in Big Data Science at NUST.
ResearchGate profileSubmitted to the Indonesian Journal of Innovation and Applied Sciences (IJIAS)
The empirical follow-on to the review below. Five hospital data silos were simulated on 4,966 real clinical transcriptions; federated training reached 84.94% accuracy without centralising any patient data, while differential privacy exposed a steep privacy and accuracy trade-off. It sets the first empirical benchmark for privacy-preserving federated sentiment analysis on clinical text.
Journal of Information Systems and Informatics, vol. 8, no. 2, pp. 1812 to 1842, April 2026
A PRISMA 2020 review of 29 empirical studies. Federated learning in healthcare is maturing for structured prediction, while sentiment analysis of clinical narratives remains early; the paper proposes a governance-aware framework for future work.
6th African IEOM Conference, Rabat, Morocco, April 2025
A PRISMA review of 42 studies on machine learning for foetal health prediction, examining accuracy alongside data variability, generalisability and algorithmic bias.
The languages, platforms and methods I work with on a regular basis.
Courses I have curated and taught on using technology in the service of peace.
I curated this course and trained API participants in person, working through how technology can strengthen peace work across the continent.
I curated this course and trained participants of the Great Lakes Initiative Leadership Institute, approaching digital peacebuilding through faith and theology across two rounds.
Sessions on the fundamentals of AI, demystifying AI, and the future of AI in the workplace, delivered as AI Champion for the SCAN region.
I work with businesses, research teams and development programmes on data engineering, AI integration, technology strategy, research and training. If your project can make a real difference, especially across Africa, I would like to hear about it.