Shu Khor
Senior Consultant at Thoughtworks
Singapore
Summary
🤩
Rockstar🎓
Top SchoolShu Khor is a Senior Consultant based in Singapore with seven years of experience building data-driven, production-grade systems across ML, backend, and streaming architectures. He helped develop and operate Feast, the popular open-source feature store, contributing deployment workflows, end-to-end tests, and DevOps automation that smooth ML feature delivery at scale. His background spans roles at Gojek (machine learning and Kafka ingestion), AppFlowy (collaborative editor backend), and earlier data-engineering positions, giving him a practical blend of infrastructure, data platform and backend engineering skills. Comfortable from low-level systems integration to developer-friendly tooling, Shu often surfaces pragmatic improvements to build and deployment processes that accelerate team productivity.
7 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering (B.Eng.) Engineering Science Programme (specialized in computational engineering science), Bachelor of Engineering (B.Eng.) Engineering Science Programme (specialized in computational engineering science) at National University of Singapore
Github Skills (14)
kubernetes10
automation10
docker10
automations10
automation-testing10
devops10
dockers10
cicd10
kubernetes-pods10
java9
python9
data-engineering9
javas9
big-data9
Programming languages (12)
Github contributions (5)
feast-dev/feast
Dec 2019 - Jun 2022
The Open Source Feature Store for AI/ML
Role in this project:
Full-stack & DevOps Engineer
Full-stack & DevOps EngineerContributions:15 releases, 101 reviews, 75 commits in 2 years 7 months
Contributions summary:Shu's contributions primarily focused on enhancing the deployment and development workflow of the Feast project. They implemented a Docker Compose setup with a Jupyter notebook for easier development and testing. The user also worked on setting up end-to-end tests and integrating the Nexus staging plugin for deployment, demonstrating their proficiency in build processes and infrastructure. Additionally, the user addressed Java package naming and performed general cleanup to build processes.
pythondata-qualitydata-sciencemlmachine-learning
khorshuheng/feast-spark
Jan 2021 - Jul 2022
Contributions:207 pushes, 68 branches in 1 year 5 months
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