Summary
Tsen-hung Wu is a Machine Learning Engineer with 8 years of experience building end-to-end ML systems, specializing in MLOps, feature stores, ETL automation, and production model deployment on Docker and Kubernetes. He combines strong statistical foundations and practical skills in Python, R, SQL, and PySpark to deliver robust pipelines, model governance, testing suites, and drift monitoring. At Zip Co and Quadpay he advanced from Data Scientist to Machine Learning Engineer, shipping scalable APIs and production monitoring for financial products. He holds an MS in Business Intelligence and Analytics from Stevens Institute of Technology with a 3.97 GPA and a background in teaching NLP and developing a plagiarism detection tool. Comfortable across cloud data stacks (Azure, AWS) and big data technologies like Spark, he also applies NLP and recommendation-system techniques to real-world problems. Colleagues value his deadline-driven critical thinking and ability to bridge research-quality models with production reliability.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Business Intelligence and Analytics, GPA: 3.97/4.0, Master of Science - MS, Business Intelligence and Analytics, GPA: 3.97/4.0 at Stevens Institute of Technology
Bachelor's degree, Business Administration, GPA: 3.86/4.00, Bachelor's degree, Business Administration, GPA: 3.86/4.00 at Chihlee University of Technology
English, Chinese, Mandarin