Data & AI Engineer
I build dependable data platforms and AI systems you can explain.
For more than seven years I have designed and operated enterprise data platforms and AI-enabled applications across financial services, public-sector healthcare, renewable energy, and telecommunications.
Today I lead data engineering, generative AI, and DevOps workstreams for public-sector health-supply planning. My MSc research asks whether explainable-AI methods hold up under adversarial manipulation.
- 7+ years Data & AI engineering
- 4 sectors Finance, health, energy, telecom
- MSc research Robustness of explainable AI
Featured work
Case study · 2026–present
Rwanda: Data, GenAI & DevOps Delivery
Designing and building a governed data platform, a self-hosted grounded assistant, and the infrastructure beneath both, for a national public-health supply chain.
Read case study → Research · MSc · CybersecurityCan an Attacker Rewrite an AI Explanation?
MSc research. A reproducible benchmark that tests whether SHAP and LIME explanations in ML intrusion detection stay reliable under attack.
Read case study →