University of Nairobi
Bachelor of Science, Electrical and Electronics Engineering
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I have been working in AI training and evaluation since 2023, primarily through Crowdgen by Appen and various AI partners. My focus has been on training generative models in front-end development best practices, which involves validating AI-generated code in React, HTML, and CSS, then providing detailed feedback on accuracy, readability, and performance. I also evaluate UI/UX design decisions generated by AI systems, assessing accessibility compliance, layout consistency, and overall user experience quality. What sets me apart is my rare combination of deep front-end engineering expertise and structured evaluation skills. Having spent decades building real-world interfaces for millions of users at BBC, Tesco, and Frog Design, I can spot subtle issues in AI output that purely theoretical evaluators might miss. I am particularly skilled at identifying when AI-generated code fails accessibility standards or produces visually correct but technically flawed implementations. This blend of hands-on development experience and rigorous quality assessment makes me effective at improving model outputs for technical and design-oriented tasks.
Bachelor of Science, Electrical and Electronics Engineering
Kenya Certificate of Secondary Education, Secondary Education
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