AI-Driven TB Detection in Tanzania
48% improvement in TB detection rates and 94% cost reduction through AI-assisted diagnostics in East Africa.
Tuberculosis diagnosis in Tanzania relied on manual microscopy — slow, expensive, and inconsistent. Detection rates were low, costs were high, and the system couldn't scale to meet the population's needs.
Designed and implemented an AI-assisted diagnostic workflow for TB detection
Integrated the solution into existing laboratory infrastructure
Trained local healthcare workers to operate and trust the new system
Managed stakeholder alignment across USAID, local health authorities, and technical partners
TB detection rates improved by 48% while costs dropped by 94%. Over 900,000 samples were processed through the new system. The project demonstrated that AI in healthcare works best when designed around the people who use it — not just the technology.
Gamified Learning at Scale: 100K Games in 50 Countries
Designed and built a gamified learning platform used to create 100,000+ games across 9 languages and 50 countries.
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