Zhibo Zhang
Senior Software Engineer at Trend Micro
Greater Nanjing Area China
Summary
🤩
Rockstar🎓
Top SchoolZhibo Zhang is a Senior Software Engineer with 13 years of experience based in the Greater Nanjing Area, China, currently building production-grade systems at Trend Micro where he progressed from intern to senior engineer. He blends full-stack development with MLOps expertise, demonstrated by contributions to a multilingual GPT-2 project that added Colab demos, model download tooling, and custom length-controlled generation for smoother user experience. With an MS in Electronics and Communications Engineering, he brings strong applied research instincts to practical engineering problems, focusing on reliability and reproducible demos. Colleagues can expect a pragmatic engineer who bridges model deployment and developer ergonomics to make ML capabilities more accessible.
13 years of coding experience
2 years of employment as a software developer
Master of Science (MS), Electronics and Communications Engineering, Master of Science (MS), Electronics and Communications Engineering at Nanjing University of Posts and Telecommunications
Stackoverflow
662reputation
44kreached
6answers
1question
Github Skills (22)
text-generation10
python10
pre-trained-model10
tensorflow10
gpt10
nlp10
google-colaboratory9
google-colab9
git8
scripting7
script7
sh7
shell7
pyjnius6
android-ndk6
Programming languages (6)
Github contributions (5)
imcaspar/gpt2-ml
Nov 2019 - Jan 2021
GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型
Role in this project:
Full-stack Developer & MLOps Engineer
Full-stack Developer & MLOps EngineerContributions:2 releases, 85 commits, 51 PRs in 1 year 2 months
Contributions summary:Zhibo's contributions focused on improving and demonstrating the GPT2 model for multiple languages. They added a demo using a pre-trained model, including downloading the model and running it within a Colab environment. They also worked on the scripts and notebook files for model demonstration, including refining and fixing the path errors. In addition, the user integrated tools to manage the model download and generate text with custom length control, improving user experience.
chineseberttpucolabtensorflow
imcaspar/try-respi
Mar 2013 - Feb 2014
Contributions:5 commits in 11 months
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