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Freelancer Overview
I combine engineering, web development, and CRM experience to create and improve high-quality AI training data that enhances user engagement and program results. At CFK Africa and in AI/ML projects, I have developed data-driven systems and dashboards, integrated APIs and digital tools into real workflows, and checked AI outputs for accuracy, relevance, and ethical considerations. My experience includes text and structured data annotation, prompt engineering, and quality review for NLP and analytics in health, youth, and sports technology. I focus on clear guidelines, consistent annotation, and strict quality checks to produce model-ready datasets that reflect real-world user contexts. What makes me unique is my mix of hands-on AI development, software engineering, and expertise in community-driven programs. I have strong technical skills in Python, cloud services, and data analysis, and I received formal training from Moringa School in software development, which supports my work with industry-standard engineering practices. My background in responsible AI, AI ethics, and youth mentoring ensures that training data is both technically accurate and fair, meeting the needs of diverse users. This leads to my contributions in AI training data projects being precise and impactful, connecting annotation work with production AI systems.