Building AI that saves lives in African healthcare
Machine Learning | Deep Learning | Health Informatics
I'm a Data Scientist with 4+ years building ML solutions for real-world healthcare challenges -- HIV patient retention, cervical cancer screening, TB detection, and outbreak response. I work at the intersection of AI and public health, turning messy clinical data into tools that help clinicians make better decisions.
Healthcare in resource-constrained settings shouldn't mean lower-quality care. I build AI systems that close that gap -- making early diagnosis accessible, predicting patient dropout before it happens, and helping health systems respond faster to outbreaks. My goal: intelligent health infrastructure that works where it's needed most.
Projects showcasing expertise in machine learning, deep learning, computer vision, and NLP, with applications in healthcare and ecology.
AI-powered screening tool that improved early cervical cancer detection accuracy in Uganda, enabling faster diagnosis in underserved clinical settings.
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Reduced HIV patient data duplicates by 4.8% across Uganda's national health system.
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Analyzed public sentiment during Uganda's 2022 Ebola outbreak to inform risk communication strategies.
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Automated bird species detection from webcam footage -- MSc thesis project at University of Cape Town.
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ML-based recommendation engine for personalized content delivery.
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Implementation of AES and RSA encryption algorithms for secure healthcare data protection.
View ProjectLeverage AI technologies like machine learning and NLP to enhance healthcare services.
Extract insights from diverse datasets with analytical reports and dynamic dashboards.
Use advanced statistical and ML techniques to gain predictive insights.
Comprehensive training in statistics, data analysis, and machine learning with R and Python.
Explore my latest thoughts and insights on data science and AI.
AI tools are ubiquitous, but many overlook the basics and end up with a superficial understanding. In this piece, I explain why that matters and how to build real expertise.
Read MoreToo many teams and organizations dive into AI without a clear plan - no defined use cases, no ROI thinking, just fear of missing out. This article unpacks why hype isn't enough and what real strategy looks like.
Read MoreAfrica is missing from the global AI revolution. Why? What can be done? This article explores the challenges and opportunities for AI in Africa.
Read MoreOpenAI's ambitious proposal to build 5-to-7 massive 5-gigawatt data centers. I explore what this means for AI development, global energy use, and sustainability.
Read MoreI'm open to questions, ideas, or collaboration opportunities. Reach out to discuss how I can help you achieve your goals.
Plot 20A Kawalya Kaggwa Close
Kololo Kampala, Uganda