A modern, responsive personal portfolio built with React, Vite, and Tailwind CSS, showcasing projects, skills, and professional growth through a clean MERN-stack inspired workflow.
- Full Stack Developer
- Programmer
- Software Engineer
I’m Faith Njeri Maina, an AI trainer and software engineer based in Nairobi, with over 1,500 hours of AI training, data annotation, and response evaluation experience from platforms like Outlier AI and Remotasks.
I’m Faith Njeri Maina, an AI trainer and software engineer based in Nairobi, with over 1,500 hours of AI training, data annotation, and response evaluation experience from platforms like Outlier AI and Remotasks. I enjoy improving prompt quality, comparing and ranking model responses, and helping ensure outputs are accurate, relevant, and aligned with content-safety guidelines.
Alongside my AI work, I build full-stack applications using JavaScript and modern web technologies like React.js, Node.js, Express, and MongoDB. I’m especially interested in combining strong engineering practices with high-quality AI data workflows—so systems learn better, behave more reliably, and deliver useful results.
A modern, responsive personal portfolio built with React, Vite, and Tailwind CSS, showcasing projects, skills, and professional growth through a clean MERN-stack inspired workflow.
Built responsive full-stack applications using React.js, Node.js, Express.js, and MongoDB. Implemented features, resolved bugs, and supported application testing, deployment, and ongoing maintenance. Collaborated on delivering functional UI and reliable backend endpoints through REST APIs, while ensuring smooth integration with the database-backed data layer.
Built responsive full-stack applications using React.js, Node.js, Express.js, and MongoDB. Implemented features, resolved bugs, and supported application testing. Assisted with deployment and ongoing maintenance by following development best practices and collaborating to deliver functional updates.
Contributed 1,500+ hours of AI training and annotation work through Outlier AI and Remotasks. Reviewed and edited model responses for clarity, accuracy, relevance, and compliance with task instructions. Compared and ranked multiple responses using project criteria to provide consistent feedback and improve training quality. Performed safety- and policy-related review to support content alignment.
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