Zhengzhong Hector
Director at MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolZhengzhong Hector is a director and computational linguistics enthusiast with 14 years of experience leading research and engineering teams at the intersection of NLP and production systems. Currently directing the MBZUAI Silicon Valley IFM lab after senior engineering leadership at Petuum, he blends academic rigor from a CMU PhD with hands-on ML engineering and DevOps expertise. His open-source contributions include back-end enhancements to DBpedia Spotlight for large-scale entity annotation and CI/CD and compatibility fixes in widely used NLP toolkits like Texar-PyTorch. He has deep practical experience building BiLSTM and VAE models for language tasks and translating research prototypes into robust deployments. Based in Sunnyvale, he brings a rare combination of DARPA-sponsored event modeling research and product-focused engineering leadership that helps bridge cutting-edge NLP research and scalable systems.
14 years of coding experience
12 years of employment as a software developer
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at The Hong Kong Polytechnic UniversityDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Carnegie Mellon University
English, Chinese
Github Skills (25)
api-rest10
pytorch10
bilstm10
python10
api-design10
restful-api10
machine-learning10
travis-ci10
java10
cicd10
javas10
natural-language-processing10
rest-api10
nlp10
devops10
Programming languages (9)
Github contributions (5)
asyml/texar-pytorch
Jul 2020 - Apr 2022
Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/
Role in this project:
DevOps Engineer & ML Engineer
DevOps Engineer & ML EngineerContributions:2 releases, 36 reviews, 38 commits in 1 year 9 months
Contributions summary:Zhengzhong primarily focused on setting up and improving the continuous integration and continuous deployment (CI/CD) pipeline, automating deployments and mirroring the repository to another location. They also addressed code quality by solving pylint issues and restricting the numpy version for compatibility. Furthermore, the user was responsible for updating the version number and fixing minor bugs related to logging and documentation. The user demonstrated expertise in integrating with and utilizing the Travis CI environment to provide automated builds and deployments.
dialog-systemspythonxlnetbertlanguage-processing
neubig/nn4nlp-code
Sep 2017 - Oct 2017
Code Samples from Neural Networks for NLP
Role in this project:ML Engineer
ML EngineerContributions:12 commits, 3 PRs in 28 days
Contributions summary:Zhengzhong primarily contributed to the development of a neural network model for Natural Language Processing tasks. Their work involved implementing and experimenting with BiLSTM architectures, including variations using teacher forcing and structured perceptron loss functions. The user also explored the implementation of a Variational Autoencoder (VAE) for language modeling, showcasing their focus on advanced NLP techniques and model design. Further contributions involved debugging and refining the VAE model and also refactoring existing BiLSTM model.
nlpnatural-language-processingneural-networksmachine-learning
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