SPEND Team

Ahmed Selmi

Machine Learning Engineer

Ahmed Selmi supports the SPEND Initiative as the Machine Learning Engineer. He brings nearly a decade of experience building AI products, data platforms, and engineering teams across startup and scale-up environments.

Ahmed has led cross-functional teams across machine learning, backend engineering, data engineering, and cloud infrastructure. His work includes building AI tutoring platforms, real-time voice AI systems, RAG and knowledge graph architectures, and company-wide data platforms that help organizations turn complex information into usable products and workflows.

With a background spanning ML engineering, data platforms, and engineering leadership, Ahmed brings a practical perspective on how AI and modern software systems can improve decision-making, simplify complex processes, and support mission-driven teams as they scale.