Shi Ng

AI Product Engineering Lead at Asian Development Bank (ADB)

Singapore, Singapore
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Summary

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Senior
🎓
Top School
Shi Ng is an AI product engineering lead based in Singapore with 9 years of hands-on experience designing and delivering secure, cloud-native systems and AI products. He blends technical architecture ownership with practical DevSecOps discipline—streamlining CI/CD, embedding security into pipelines, and cutting deployment times dramatically across microservice landscapes. Shi has led modernization efforts from legacy C# systems to hybrid cloud Java and Kafka architectures, and has a track record of translating complex AI/ML and infrastructure concepts into clear guidance for stakeholders. He’s equally comfortable building proofs-of-concept for new commercial opportunities and running change advisory processes to keep production safe and compliant. Notably, he resurrected stalled projects and built engineering teams from scratch, demonstrating a talent for turning technical debt into scalable products. He holds formal training in cybersecurity alongside deep software engineering roots, which informs his pragmatic, security-first approach to AI product delivery.
code9 years of coding experience
job9 years of employment as a software developer
bookDiploma in Engineering Informatics Computer Software Engineering, Diploma in Engineering Informatics Computer Software Engineering at Nanyang Polytechnic
bookBachelor's degree Cyber Security, Bachelor's degree Cyber Security at Coventry University
languagesEnglish, Chinese, Chinese
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Github Skills (22)

stream7
text-files6
kafka-connect6
sql5
interactive5
ksqldb5
kafka5
testing4
playing4
album-art4
stream-processing4
database4
cli3
cli-tools3
music3

Programming languages (6)

C#DockerfileJavaBicepHTMLPython

Github contributions (5)

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Ez2Raven/roonserver

Jul 2021 - Mar 2025

Contributions:35 releases, 2 PRs, 20 pushes in 3 years 8 months
Ez2Raven/eShopOnContainers

Jan 2021 - Nov 2023

Cross-platform .NET sample microservices and container based application that runs on Linux Windows and macOS. Powered by .NET Core 3.1, Docker Containers and Azure Kubernetes Services. Supports Visual Studio, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor.
Contributions:1 PR, 3 pushes, 2 branches in 2 years 10 months
azure-kubernetesdocker-containersclinet-core-3-1azure-kubernetes-services
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Shi Ng - AI Product Engineering Lead at Asian Development Bank (ADB)