Daniel Yu
Engineer at Aspex Management
Hong Kong Island, Hong Kong, China
Summary
👤
Senior🎓
Top SchoolDaniel Yu is an experienced engineer with 18 years building cloud-native, data and GenAI systems, currently focusing on architecture and infrastructure for MLOps and Kubernetes-based platforms in Hong Kong. He has led big data and AI productionization efforts—moving research POCs to scalable APIs and orchestrated pipelines—while hands-on with Spark, Docker, OpenStack and DevOps tooling. His open-source contributions include backend improvements to Alluxio, reflecting a pragmatic focus on stability, maintainability and efficiency in distributed storage for analytics and ML. A PhD-trained distributed-systems practitioner with full-stack coding pedigree across Java, Scala and Python, he blends research depth with product delivery and a knack for reducing redundant resource use in large systems.
17 years of coding experience
13 years of employment as a software developer
MSc, Artificial Intelligence, MSc, Artificial Intelligence at The University of EdinburghBSc, Electronic Engineering, BSc, Electronic Engineering at Fudan UniversityDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Huazhong University of Science and Technology
Chinese, English
Stackoverflow
51reputation
6kreached
1answer
2questions
Github Skills (18)
back-end-development10
alluxio10
java10
javas10
backend10
data-engineering9
filesystem9
file-management9
orchestration8
orchestrate8
data-analysis7
oracle6
trigger6
php6
spring-boot6
Programming languages (15)
Github contributions (5)
Alluxio/alluxio
Jul 2015 - Jun 2017
Alluxio, data orchestration for analytics and machine learning in the cloud
Role in this project:
Backend Developer
Backend DeveloperContributions:60 commits, 17 PRs, 47 comments in 1 year 10 months
Contributions summary:Daniel primarily contributed to the Alluxio project by fixing source code formatting issues, cleaning up and refactoring worker-related servlets, and addressing dependencies on deprecated external APIs. They also moved master client functionality to BlockWorker to avoid redundant object creation, and refactored the FileSystemMasterClient. Furthermore, they addressed file-related issues such as completing and deleting files. These changes demonstrate a focus on improving the stability, maintainability, and efficiency of the Alluxio system.
data-analysisvirtual-distributed-filesystemanalyticsorchestrationdata-science
danielfree/alluxio
Oct 2015 - Aug 2017
Contributions:24 commits, 64 pushes, 47 branches in 1 year 10 months
memoryspeeddistributed-storagememory-speedstorage
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