MingZeTang
Data & AI Transformation Lead
"Ming Ze transforms complex venture capital data into actionable intelligence."
Ming Ze is an AI Systems Developer at Sapphire, where he designs and builds agentic AI systems to automate operations and enhance the firm’s technological capabilities. By developing intelligent, data-driven tools, he streamlines workflows and improves operational efficiency across Sapphire's venture capital and EIS/SEIS investment activities.
With a background in building scalable software architectures , Ming Ze specializes in leveraging historical venture capital datasets and AI screening pipelines to identify high-potential investment candidates.
He holds a First-Class B.Sc. in Software Engineering and an M.Sc. in Artificial Intelligence with Distinction from the University of Aberdeen. A published academic in Large Language Models and Computer Vision, Ming Ze brings cutting-edge AI research into practical financial applications. He has also completed the EISA diploma.