Summary
Xi Han is an AI-focused data scientist with a PhD and eight years of cross-industry experience building production ML systems for payments, streaming SaaS, and real estate platforms. He has a track record of taking projects from research to production—designing recommendation pipelines, generative AI assistants, propensity and credit models, and data lake architectures—that measurably improved conversion, retention, and risk outcomes. Comfortable with both deep learning and tree-based models, he routinely combines real-time retrieval, reranking, and rule-based safeguards to balance freshness, diversity, and safety. He has shipped profitable products as an independent developer (an LLM-powered interview practice platform) and led data governance efforts to automate quality monitoring and unify analytics. Based in Singapore, Xi blends academic rigor in ML (PhD work on generative augmentation and optimization for protein engineering) with pragmatic engineering for scalable, business-facing systems.
8 years of coding experience
9 years of employment as a software developer
High School Diploma, High School Diploma at Hengshui High School
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
Bachelor's degree, Chemical Engineering, Bachelor's degree, Chemical Engineering at Tianjin University
Doctor of Philosophy - PhD, Machine Learning for Protein Engineering, Doctor of Philosophy - PhD, Machine Learning for Protein Engineering at National University of Singapore