I'm a sociolinguist based in Nairobi, Kenya, working at the intersection of African linguistics and artificial intelligence. My focus is annotation quality, cultural alignment, and bias detection for African language AI — the frameworks that shape how African language data gets labeled before it enters any model.

I bring native competency in Swahili, Sheng, and Luo & Luhya alongside a decade of research experience in global health, monitoring and evaluation, and proposal development. That combination — linguistic depth plus research rigour — is what I apply to the problem of making AI systems work honestly and equitably for African language communities.

I published Annotation Guidelines for African Language AI because the resource did not exist. The teams annotating Swahili, Yoruba, Amharic, Sheng, and Dholuo data were doing their best with guidelines built for English. This handbook is the practical correction.

I consult with AI labs, data annotation platforms, NGOs, and research organisations on annotation framework design, cultural alignment reviews, and AI safety auditing for African language contexts.