I'm Aicha Mbongo, a Graduate Assistant & MSc IT candidate at Strathmore University, Nairobi — where I sit at the crossroads of healthcare, machine learning, and explainability.
My research applies Explainable AI (XAI) to the automated detection of Diabetic Retinopathy — a leading cause of preventable blindness — making AI decisions interpretable enough for clinicians to trust and act on.
Beyond research, I support undergraduate software engineering education, build full-stack web applications, automate academic workflows with Google Workspace, and teach the full SDLC lifecycle.
"The most powerful thing you can do with data is use it to save a life."
Diabetic Retinopathy Detection with Explainable AI (MSc Thesis)
| 👁️ Problem | DR causes preventable blindness — yet specialist access is scarce in low-resource settings |
| 🤖 Approach | Deep learning CNNs for automated DR grading from retinal fundus images |
| 🔍 Explainability | XAI techniques — Grad-CAM, LIME, SHAP — to make predictions interpretable for clinicians |
| 🏥 Goal | Trustworthy, deployable e-health tools for under-resourced healthcare settings |
- 🧑🏾🏫 Graduate Assistant — Strathmore University, supporting undergraduate SE coursework & student supervision
- 🏫 MSc Information Technology — Strathmore University, Nairobi (in progress)
- 🔬 Research on Diabetic Retinopathy detection with Explainable AI
- 📚 Teaching Software Engineering principles and the full SDLC lifecycle
- 🎯 Coordinating academic capstone programmes and industry mentorship
- ⚙️ Automating institutional workflows with Google Workspace & Apps Script
I'm always open to conversations about e-health, AI for social good, research collaboration, or tech in Africa 🌍
Open to:
Bridging AI and healthcare · Building solutions that matter · Teaching the next generation of engineers 🌍