Zheng Tang
Applied Scientist II at Amazon
El Segundo, California, United States
Summary
👤
Senior🎓
Top SchoolZheng Tang is an Applied Scientist II at Amazon with a decade of experience specializing in NLP and large language models, grounded in a PhD in Computer Science from the University of Arizona. His career bridges academic research and industry R&D, with roles from research programmer at ISI to senior research positions at Samsung Research America before joining Amazon. He has hands-on experience building entity extraction and resolution tools, semantic modeling for messages, and applied speech translation prototypes from earlier internships. Comfortable taking ideas from papers to production, Zheng combines deep research rigor with practical system-building across both academic and commercial environments. Based in El Segundo, CA, he brings a mix of published research mindset and product-oriented engineering that accelerates NLP innovations into deployable features.
10 years of coding experience
6 years of employment as a software developer
The University of ArizonaMaster of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at University of Southern CaliforniaBachelor of Engineering (B.E.), Computer Software Engineering, Bachelor of Engineering (B.E.), Computer Software Engineering at Beijing Jiaotong University
English, Chinese
Github Skills (20)
natural-language-processing10
nlp10
modeling-tool9
dig8
to-do7
deep-learning5
language-model4
java2
api2
llama1
akka1
text-annotation1
akka-http1
llm1
datasets1
Programming languages (6)
Github contributions (5)
ZhengTang1120/gcn-over-pruned-trees
Sep 2020 - Apr 2021
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)
Contributions:1163 pushes, 11 branches in 7 months
pytorchextractiondeep-learningdependency-treesconvolution
ZhengTang1120/tacred_tagging
Apr 2021 - Aug 2022
Contributions:1508 pushes, 29 branches in 1 year 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.