Andrew Li is a senior data engineer based in Taichung, Taiwan with nine years of experience translating domain expertise in chemical and manufacturing processes into production data systems and ML solutions. He has driven energy optimization, predictive maintenance for wind turbines, and risk-scoring applications—delivering measurable impact such as an 8% annual energy reduction for a petrochemical plant and early anomaly detection up to six months ahead. Comfortable across the full data lifecycle, he has built user-facing ML web apps, analytic decision-support tools like bivariate choropleth maps, and scalable pipelines at Cathay Financial Holdings and DSP. Trained as a chemical engineer with a master's degree, he combines empirical lab rigor and process engineering with pragmatic software development to solve real-world industrial and social problems.
9 years of coding experience
10 years of employment as a software developer
Master's degree, Chemical Engineering, 3.8/4.0, Master's degree, Chemical Engineering, 3.8/4.0 at Feng Chia University
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Contributions:17 pushes, 4 branches in 2 years 10 months
Contributions:35 commits, 25 pushes, 1 branch in 1 year 10 months
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