George Zhu

CloudOps DevOps AI Enthusiast Data Platform AWS Alibaba Cloud GCP

CloudOps & DevOps | AI Enthusiast exploring ML, LLM, Agent & Skill best practices

About Me

Hi, I'm George Zhu. I graduated from Kyushu University in Japan with a master's degree in engineering.

I have extensive experience in the software development industry, from data science to DevOps and CloudOps.

I am currently working as a CloudOps engineer, managing infrastructure on Alibaba Cloud and GCP.

Previously, I worked as a DevOps engineer building data platforms on AWS to support data analysts.

I am also an AI enthusiast, continuously exploring best practices in traditional machine learning, LLM, Agent, and Skill development.

My international background (study abroad and work experience in Japan) has given me strong views on cooperation between international teams.

Skills

CloudOps DevOps AWS Alibaba Cloud GCP Data Platform Kubernetes Terraform Docker Python Machine Learning LLM / Agent Data Engineering

Experience & Education

CloudOps Engineer

Present

CloudOps on Alibaba Cloud and GCP, managing cloud infrastructure and operations

DevOps Engineer

Built data platforms on AWS for data analysts, providing infrastructure and platform support

Data Scientist

Japan

Provided data-driven solutions at a consulting company in Japan

Software Engineer

Japan

Software development in the industry with international team collaboration

M.S. of Engineering (Advanced Information Technology)

Kyushu University, Japan

Master's degree in engineering

Languages

Projects

Anomaly Detection of Electric Fan

Used deep learning technology (VAE, VGG16) to realize anomaly detection in factory environments. Achieved 98% accuracy with supervised learning after 60% accuracy with unsupervised methods.

Tools: Python3, Keras, GCP, Matplotlib, Pandas, Flask, Kafka, OpenCV

Predictive Analysis of Sewer Sewage Purification

Used machine learning methods to predict the amount of purifier input. Used linear regression, decision tree, clustering for feature extraction.

Tools: Python3, Matplotlib, Pandas, Scikit-learn, Jupyter Notebook, Git, Docker

Knowledge Acquisition System with Neo4j

Designed a knowledge database system using graph database (Neo4j) with NLP for topic modeling and automatic Cypher query generation.

Tools: Python3, Neo4j, WordNet, Gensim, Cabocha

Customer Behavior Analysis Infrastructure

Built a system for customer behavior analysis using Neo4j on AWS EC2, integrating customer data with third-party data sources.

Tools: Python3, Pandas, Apache Spark, Docker, AWS

Smart Meter Management Systems

Developed a smart meter management system for electricity companies with remote operations, working onsite with Mitsubishi's engineers.

Tools: Java, Struts, Spring, Hibernate, JPA, dHtmlx, JQuery, Oracle, VoltDB, Javascript

Offshore Software Development

Led a team of 3-4 members as BSE, communicating with Japanese development team, carrying out detailed design, coding, testing and review.

Tools: Java, Struts, Spring, Hibernate, iBatis, Oracle, JQuery, PowerCenter

Publications

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