Zhanwen Chen is a Data Science PhD student and applied scientist with a decade of software and research experience, currently interning at Amazon after prior NLP research at Futurewei and vision-and-language work at UVA’s RISE Lab. He blends production engineering (cloud deployments on AWS, GCP, Azure; ETL and full‑stack systems) with academic rigor—publishing at CVPR/WACV and serving as peer reviewer for top conferences and journals. His toolkit spans PyTorch for large-scale vision-and-language models, Slurm clusters, and CI/CD-driven web and data pipelines, reflecting repeated transitions between research prototypes and production-ready systems. Notably, he has built lab infrastructure with GitHub Actions and has hands-on history in healthcare and regulatory data pipelines, showing a practical bent for domain-driven ML applications.
10 years of coding experience
4 years of employment as a software developer
Full-Stack Web Developer Nanodegree, Full-Stack Web Developer Nanodegree at Udacity
Doctor of Philosophy - PhD Data Science, Doctor of Philosophy - PhD Data Science at University of Virginia
Bachelor of Arts (B.A.) Economics, Bachelor of Arts (B.A.) Economics at Vassar College
University of Georgia
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Vanderbilt University
Contributions:35 pushes, 5 branches in 8 years 10 months
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