Summary
Nan Xiao is a Chief Technology & Data Officer with 10 years of experience building low-latency, scalable systems and production ML infrastructure across finance, healthcare, and trading. At Greenland Capital she leads quantamental development, data, and infrastructure to translate AI from isolated models into integrated investment workflows for a multi-strategy hedge fund. Her background spans founding and scaling startups (AC-Health), directing ML infrastructure at Onehot Labs, and re-architecting high-throughput trading platforms at Tradeweb, giving her rare fluency across kernel-to-cloud engineering and model deployment. She combines hands-on systems work (mainframe kernel and trading systems) with product-minded ML ops—automating ETL, training, OCR, and real-time prediction delivery on platforms like GCP and Kubernetes. Based in New York, she also advises on industry trends via Hedgeweek, bridging practitioner experience with strategic insight. An engineer at heart, she often sits at the nexus of research, product, and ops to turn experimental models into audit-ready, scalable production services.
10 years of coding experience
8 years of employment as a software developer
Shanghai Weiyu High School
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Cornell University
Bachelor of Science - BS Mechanical Engineering, Bachelor of Science - BS Mechanical Engineering at Shanghai University
English, Chinese