Summary
Ziqi Zhang is a Senior Data Scientist based in Manchester with 12 years’ experience building production-grade NLP and agentic systems that accelerate delivery by more than 5×. He specializes in AI-directed engineering—decomposing problems, orchestrating multi-agent pipelines, and treating models like instruments (Claude, Gemini, Codex) to generate, critique, and maintain code and content at scale. At Escalator he delivers LLM-powered fundraising solutions—automated news intelligence, multi-agent content pipelines, ReAct agents, and Neo4j-backed RAG infrastructure—designed with rigorous evaluation across GPT, Gemini, and Claude. His background includes 15 years of NLP research, 80+ peer-reviewed papers, and award-winning startups, which gives him deep insight into model failure modes and how to push architectures beyond common practice. He combines academic rigor (PhD, University of Sheffield) with hands-on production engineering on Azure and Python, making him equally at home in research, product design, and deployment. An unusual strength: he doesn’t just prompt models—he engineers the surrounding specifications, guardrails, and evaluation loops that make agentic systems reliable in the real world.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Sheffield
MSc, Software Engineering, MSc, Software Engineering at University of Birmingham
BSc, Software Engineering and Management, BSc, Software Engineering and Management at University of Leeds
English, Chinese