Summary
Ching-wen C is a performance engineer and Computational Linguistics MS candidate at Brandeis with a decade of cross-disciplinary experience spanning NLP research, machine learning, and hardware project management. She has improved production NLP systems—training BERT models to substantially raise classification F1 scores, building ETL pipelines for Rosette, and creating corpora and annotation guidelines that boosted event extraction and NER accuracy. Comfortable in both research and production settings, she pairs deep Python and Java skills with hands-on experience optimizing factory processes and delivering consumer hardware at scale. Her background managing large, cross-functional teams at Foxconn and HP complements her data-centric work, enabling her to translate linguistic insights into robust engineering outcomes. Fluent in multilingual and multicultural contexts (Taiwanese background and experience with Chinese UMR), she brings a rare combination of linguistic rigor and operational leadership to performance and NLP engineering problems.
10 years of coding experience
5 years of employment as a software developer
The University of Hong Kong (HKU)
High School, High School at Wharton High School
Linguistics, Linguistics at University of Tübingen
Bachelor's Degree, Foreign Languages and Literatures, General, Bachelor's Degree, Foreign Languages and Literatures, General at National Tsing Hua University
Master of Science - MS, Computational Linguistics, Master of Science - MS, Computational Linguistics at Brandeis University
English, German, Chinese, Japanese, Chinese