MSc Information Technology candidate and Graduate Assistant at Strathmore University, Nairobi.
I work at the intersection of healthcare, machine learning, and explainable AI. My MSc research explores automated diabetic-retinopathy grading from retinal fundus images—and, crucially, how to make those predictions understandable and useful to clinicians.
Alongside my research, I support undergraduate software-engineering education, build full-stack applications, and automate academic workflows.
- 🔬 Researching deep learning and XAI for diabetic-retinopathy screening
- 🧑🏾🏫 Teaching software engineering and the software development lifecycle
- 🏥 Interested in practical, responsible AI for resource-constrained health systems
- 🌍 Based in Nairobi, Kenya
| Focus | What I am working on |
|---|---|
| Clinical problem | Earlier screening for a leading cause of preventable blindness |
| Machine learning | CNN-based grading of retinal fundus images |
| Explainability | Grad-CAM, LIME, and SHAP for interpretable predictions |
| Outcome | A trustworthy e-health tool designed for under-resourced settings |
AI & data
Applications & platforms
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I’m happy to connect about e-health, explainable AI, research collaboration, software-engineering education, and technology for social impact in Africa.
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Bridging AI and healthcare · Building solutions that matter · Teaching the next generation of engineers