Summary
Ching Wang is a Senior Machine Learning Engineer based in Taiwan with 11 years of experience applying multilingual NLP, LLMs, and statistical methods to cybersecurity, network monitoring, and environmental research. He has built production-grade systems—integrating RAG and text2SQL for operator knowledge retrieval, hybrid multilingual spam/toxicity detectors, and an AI WAF with a 0.99 F1 whitelist automation—from prototype to Dockerized deployment. At Taiwan Cybersecurity Foundry he combined federated few-shot learning, explainable XGBoost+SHAP models, and NLP-driven rule mapping to detect zero-day attacks and reduce false alerts, while also leveraging time-series and Bayesian techniques for anomaly detection. His background in marine science and field analytics informs a data-driven, interdisciplinary approach to problem framing and feature engineering that is uncommon among ML engineers focused solely on IT. Skilled at turning complex domain rules into scalable ML pipelines, he blends research rigor with operational pragmatism.
11 years of coding experience
3 years of employment as a software developer
碩士, 海洋研究所, 碩士, 海洋研究所 at 國立臺灣大學
生命科學, 生命科學 at 東海大學