Summary
Changlun is a founder and data scientist with a decade of experience building AI-driven products and analytics for the financial sector, now leading Paradoox AI to deliver trustworthy AI middleware for fintech. He combines hands-on data engineering and modeling—Go, Python, MongoDB, Tableau—with academic rigor from CUHK and ongoing PhD work at HKUST Guangzhou, bridging research and productization. His background spans practical text-mining and NLP projects, reproducible financial data analyses, and production analytics platforms, reflecting a knack for turning messy data into interpretable investment insights. Notably, he’s focusing on "financial twin" evaluation environments and multi-dimensional profiling of LLM investment behavior, an uncommon niche that blends model evaluation with finance domain expertise.
10 years of coding experience
5 years of employment as a software developer
The Chinese University of Hong Kong (CUHK)
Academic Exchange Electrical and Electronics Engineering, Academic Exchange Electrical and Electronics Engineering at Tsinghua University
Doctor of Philosophy - PhD Data Science, Doctor of Philosophy - PhD Data Science at HKUST Guangzhou
Chinese, English, Chinese