Stallone Salami

I am a detail-oriented computer science graduate with hands-on experience in AI training, content evaluation, software testing, and IT support. I focus on improving AI-generated content by providing clear, structured feedback and rationales to boost model performance.

In my current roles I evaluate AI responses for accuracy and relevance, contribute to special evaluation initiatives, and produce high-quality written material that supports model improvement. I pair this with practical experience executing functional and exploratory testing for web and mobile applications.

I have provided technical support, documented support processes, and created user guides to improve team efficiency. My collaborative experience spans remote, international teams using tools like Google Workspace, Trello, Slack, and Notion.

I bring a strong blend of analytical rigor and clear communication, aiming to deliver reliable testing, thorough documentation, and actionable AI feedback that help cross-functional teams launch better products.