Summary
Chien-jen Tang is a data scientist with 12 years of experience blending physics-grade rigor and full-stack engineering to build scalable ML systems for document and patent analytics. He has led end-to-end projects—from designing high-throughput NLP pipelines that classify 50,000 documents in five minutes to improving deep learning semantic search models and deploying them in production. His background in astrophysics and space-mission software gives him uncommon strengths in signal processing, system integration, and numerical methods that he applies to noisy, visually rich documents. At Foxconn and InQuartik he combined research, engineering, and product metrics to boost retrieval quality and user insights while also shipping responsive web tools. Based in New Taipei, Taiwan, he thrives on turning complex scientific problems into robust, performance-oriented software.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Astrophysics, Doctor of Philosophy (Ph.D.), Astrophysics at Imperial College London
Data Science Program
Bachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at National Tsing Hua University
English, Chinese