JOSEPH AYUB

Built and deployed the Mirality.io landing page using Next.js, with emphasis on performance, SEO, and scalability. Implemented a mobile-first, fully responsive UI using reusable components and modern frontend best practices. Added SEO fundamentals including metadata, semantic HTML, and structured content to improve search visibility and indexing.

Built and maintained the Ingubu Kenya corporate website, delivering a professional, responsive, and high-performance web presence. Implemented on-page SEO optimizations to improve indexing and search engine visibility. Created client pitch decks and presentation materials to support sales, partnerships, and business development initiatives.

Delivered multiple AI MVPs end-to-end, translating stakeholder requirements into production-ready prototypes through rapid iteration. Designed and deployed a reinforcement learning content recommendation system based on user behavior signals. Built document intelligence solutions for structured data extraction and retrieval-based document Q&A. Developed a Neo4j-powered chatbot that answers natural-language questions by generating and executing Cypher queries over graph data. Implemented healthcare AI MVPs including cancer risk prediction and detection workflows aligned with pilot validation criteria. Built AI agents for natural-language analytics including text-to-SQL, automated chart generation, spreadsheet outputs, and dashboard creation, using SHAP and LIME for explainable, audit-ready model explanations. Also implemented federated learning pipelines with privacy controls and secure aggregation to support distributed training under data residency constraints.