Sulayman Bah is a machine learning and deep learning engineer and software developer from The Gambia, and an electrical engineering student at USET. He builds AI-powered applications with Python, PyTorch, Streamlit, the Gemini API, Supabase, and ChromaDB, with a focus on local impact: legal rights, civic education, financial inclusion, farming, and transit. He has built 20+ PyTorch image model projects and completed Andrew Ng’s Machine Learning course, and he is currently exploring multi-agent systems and MCP for credit and lending use cases. Sulayman is passionate about teaching, having tutored peers in mathematics, physics, chemistry, and IT since school.