Summary
Yan Bin is a Founding AI Engineer with nine years of experience building production-grade ModelOps and agentic LLM systems at the intersection of geospatial intelligence and climate technology. Currently at PangeAI, a Stanford spin-out, he architects multi-agent workflows that reason over spatial data to democratize geospatial analytics. His background spans scaling scientific models to cloud-native deployments, hands-on flight-operations optimization at SATAVIA, and published turbofan fatigue research with Imperial College and The Royal Society—giving him a rare mix of domain physics and software engineering. He has led ModelOps transformations using AWS, HashiCorp, Zarr, and Kubernetes, and prototyped LangGraph-driven geospatial agents at Stanford. Known for turning complex academic research into reliable, automated systems, he often bridges gaps between GIS tooling and modern LLM pipelines. Based in Cambridge, UK, he combines an aviator’s attention to safety with a developer’s focus on scalable, auditable systems.
9 years of coding experience
3 years of employment as a software developer
Master of Engineering - MEng ACGI Aeronautical Engineering with a Year in Industry, Master of Engineering - MEng ACGI Aeronautical Engineering with a Year in Industry at Imperial College London
Full Stack Web Developer Computer Software Engineering, Full Stack Web Developer Computer Software Engineering at Udacity
Diploma - Esame di Stato Aeronautics/Aviation/Aerospace Science and Technology General, Diploma - Esame di Stato Aeronautics/Aviation/Aerospace Science and Technology General at I.I.S. De Pinedo - Colonna
L7 Data Science AI Apprenticeship Artificial Intelligence, L7 Data Science AI Apprenticeship Artificial Intelligence at Cambridge Spark
English, Italian, Chinese