Ming Xu
Head Of Technology Expert Engineer, Tencent Cloud America
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMing Xu is a seasoned technology leader with 11+ years driving cloud adoption, optimization, and cloud-native transformation across multinational teams, now serving as Head of Technology / Expert Engineer at Tencent Cloud America. He has led global cloud and infrastructure services at eBay and built APAC IT solutions at PayPal, combining deep hands-on expertise in data center operations, virtualization, Kubernetes, DevOps, and information security. Ming pairs strategic vendor and cross-region team management with practical skills in application modernization and cost optimization for public, hybrid, and multi-cloud environments. He is also an active developer and algorithm researcher, contributing to popular open-source NLP toolkits like text2vec and pycorrector—work that reflects his applied interest in text embeddings, similarity, and sequence-to-sequence models. Based in San Jose, he blends enterprise-scale operational leadership with backend engineering craftsmanship, often bridging research-level ML work with production deployment. Colleagues know him for turning complex infrastructure challenges into pragmatic, cost-effective solutions that accelerate cloud adoption.
11 years of coding experience
12 years of employment as a software developer
Master's degree, Software Engineering, Master's degree, Software Engineering at Fudan UniversityBachelor’s Degree, Computer Science and Technology, Bachelor’s Degree, Computer Science and Technology at Shanghai University
Chinese, English
Github Skills (23)
python10
java10
numpy10
javas10
semantic-analysis10
tensorflow10
cosine-similarity10
nlp10
embedding10
matplotlib9
word2vec9
gru9
attention-mechanism9
fileio9
file-access9
Programming languages (9)
Github contributions (5)
shibing624/python-tutorial
Mar 2017 - Feb 2022
Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数据科学，Flask，爬虫开发教程。
Role in this project:
Back-end Developer
Back-end DeveloperContributions:55 commits, 10 PRs, 154 pushes in 5 years
Contributions summary:Ming contributed multiple commits focused on developing and demonstrating Python code examples within the context of a Python tutorial repository. The commits include examples for string, list, tuple, dictionary, set, and loop data structure operations, as well as file I/O, and the use of the `pickle` library for serialization. The user also demonstrated usage of `numpy` for array indexing, plotting with `matplotlib`, and array manipulation methods.
nlppythonpython-webdata-sciencedeep-learning
shibing624/pycorrector
Aug 2018 - Jan 2023
pycorrector is a toolkit for text error correction. 文本纠错，实现了Kenlm，T5，MacBERT，ChatGLM3，Qwen2.5等模型应用在纠错场景，开箱即用。
Role in this project:Back-end Developer
Back-end DeveloperContributions:9 releases, 19 reviews, 273 commits in 4 years 5 months
Contributions summary:Ming's contributions center around modifications to the `pycorrector` project, a toolkit for text error correction, with a focus on integrating and testing various models for this task. The user made changes to files related to a Seq2SeqModel, suggesting involvement in the implementation or modification of sequence-to-sequence models. The commits also include additions to the training modules, suggesting a role in the model training pipeline.
nlpberterror-detectionkenlmdeep-learning-models
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