Wenchih Lo
Site Reliability Engineer at The Apache Software Foundation
Tokyo, Japan
Summary
🤩
Rockstar🎓
Top SchoolWenchih Lo is a Site Reliability Engineer based in Tokyo with six years of experience building cloud-native backend systems, platform tooling, and DevOps/MLOps infrastructure. He has hands-on expertise in Kubernetes, GitOps (Argo CD, Helm, Crossplane), Terraform, and operational tooling across AWS, Cloudflare, Vault and Datadog, and redesigned CI/CD practices for regulated payment infrastructure at StraitsX. An active open-source committer to Apache YuniKorn and Submarine and contributor to Flyte, he has improved core scheduler APIs and helped enable notebook environments for cloud-native ML workflows. He combines production on-call and incident automation experience—including a Slack-integrated Temporal workflow and LLM agent for support—with a strong academic background (MSc, National Cheng Kung University, 3.88 GPA). Notably, his OSS work spans both distributed scheduler internals and cloud ML platform ergonomics, reflecting a rare blend of backend systems depth and ML platform sensitivity.
6 years of coding experience
3 years of employment as a software developer
Master, Information Technology, GPA: 3.88/4.0, Master, Information Technology, GPA: 3.88/4.0 at National Cheng Kung UniversityBachelor, Information Technology, Bachelor, Information Technology at Tamkang University
English, Chinese
Github Skills (27)
api-rest10
kubernetes10
api-design10
restful-api10
java10
javas10
go10
kubernetes-pods10
rest-api10
testing9
jupyter-notebook9
shell8
docker8
sh8
mybatis-plus8
Programming languages (10)
Github contributions (5)
apache/submarine
Nov 2019 - Dec 2020
Submarine is Cloud Native Machine Learning Platform.
Role in this project:
Backend Developer
Backend DeveloperContributions:37 reviews, 33 commits, 39 PRs in 1 year 1 month
Contributions summary:Ryan Lo's contributions focused on enhancing the backend functionality of the Submarine platform. They addressed a bug related to `SqlSession#close` in the workbench REST API by modifying code in `SysDeptRestApi.java`, `SysDictRestApi.java`, and `LoginRestApi.java`. Furthermore, they added and updated documentation related to MXNet. Also, they added a jupyter notebook environment and made changes to enable the notebook instances.
machine-learning-platformlearning-platformdeep-learningnotebookdocker
apache/yunikorn-core
Feb 2022 - Nov 2022
Apache YuniKorn Core
Role in this project:Backend Developer
Backend DeveloperContributions:3 reviews, 11 commits, 15 PRs in 9 months
Contributions summary:Wenchih primarily contributed to the core backend logic of the Apache YuniKorn scheduler. Their work includes implementing health checks, adjusting logging levels, and exposing reservation and pending resource information through the API endpoints. They also added unit tests for API handler calls and enhanced the application and node REST responses to include reservation and pending resources. Additionally, the user fixed existing issues related to shell scripts.
universal-resource-scheduleryunikornapacheapache-yarnkubernetes
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