Yuwei Wu
Research Assistant at Carnegie Mellon University
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolYuwei Wu is a research-focused machine learning engineer specializing in natural language processing, generative models, and multimodal learning, with nine years of research and product experience spanning CMU, SenseTime, Georgia Tech, and Shanghai Jiao Tong University. Currently pursuing an MS in Language Technologies at Carnegie Mellon, he builds LLM-driven systems (GPT-3/4) and transformer-based event and multimodal models for tasks like VQA, dialogue, and schema-guided event completion. His work is well-cited (658 citations) and mixes academic rigor with product-minded research-to-production experience, including large multimodal pretraining and OCR-driven information extraction. Proficient in PyTorch, Python, and C++, he combines strong publication output with hands-on system development—an uncommon blend that helps translate cutting-edge generative research into deployable features.
9 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Language Technologies, GPA: 4.03/4.33, Master of Science - MS, Language Technologies, GPA: 4.03/4.33 at Carnegie Mellon UniversityBachelor of Science - BS (ACM Honors Class), Computer Science, GPA: 89.7/100, top 10%, Bachelor of Science - BS (ACM Honors Class), Computer Science, GPA: 89.7/100, top 10% at Shanghai Jiao Tong University
Github Skills (5)
probability8
probability-theory7
theory7
lda5
nlp4
Programming languages (2)
Github contributions (5)
Willyoung2017/MyCompiler
Apr 2018 - Jun 2018
Contributions:87 pushes, 1 branch in 1 month
Willyoung2017/Willyoung2017.github.io
Aug 2019 - Nov 2020
Contributions:44 pushes, 1 branch in 1 year 2 months
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