Summary
Xiao Nan is a data scientist with 12 years of experience building production ML systems across travel, fintech, and enterprise banking, now applying his expertise at Stripe in Singapore. He has led high-impact projects at Agoda and Wego — from scalable hotel review ranking and GPT-based review translation that together drove tens of millions in revenue, to serverless hotel mapping and flight fare prediction pipelines that slashed costs and latency. At OCBC AI Lab he helped industrialize NLP and OCR solutions for banking, and he has hands-on experience with CV, sequence models, LLM fine-tuning, and cloud platforms (GCP/AWS/Azure). Xiao combines deep technical delivery (Scala/Spark, Kubeflow, FP16 inference optimizations) with product-minded impact, mentoring junior engineers and integrating research-grade models into production. He holds advanced degrees from Georgia Tech and UIUC and often blends academic rigor with pragmatic engineering—an orientation evident in his ability to turn LLMs into revenue-generating features. Notably, he has scaled complex multilingual and Chinese-specific NLP solutions that dramatically expanded data coverage and enabled new business capabilities.
12 years of coding experience
10 years of employment as a software developer
Dalian Yuming Senior High School
Electrical and Electronics Engineering, Electrical and Electronics Engineering at RWTH Aachen University
B.Eng. (Hons.) Electrical Engineering, B.Eng. (Hons.) Electrical Engineering at National University of Singapore
Master of Business Administration - MBA, Master of Business Administration - MBA at University of Illinois Urbana-Champaign
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
English, Chinese, Chinese