Y
Senior Software Engineer at TensorChord
Shanghai, Singapore
Summary
🤩
Rockstar🎓
Top SchoolY is a Senior Software Engineer with 9 years of experience building data-driven systems, model-serving platforms, and cloud-native infra, currently contributing to TensorChord on projects like envd and Postgres vector search extensions. He has driven retrieval and recommendation improvements at TikTok and Shopee and builds practical ML/AI infrastructure from model CI/CD to micro-servers. An active open-source contributor in CNCF projects, he enhanced fluid to support non-root deployments and contributed a recommendation framework to a Kubernetes FinOps platform, showing depth in both backend and DevOps. Based in Shanghai with cross-border ties to Singapore, he blends hands-on engineering with a habit of rapidly adopting new data-science and cloud technologies.
9 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Information and Computing Science, Bachelor’s Degree, Information and Computing Science at Huazhong Agricultural University
Chinese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
kubernetes10
go10
alluxio10
fins10
kubernetes-pods10
analytics9
docker8
dockers8
cloud-computing7
big-data7
Programming languages (17)
Github contributions (5)
fluid-cloudnative/fluid
Sep 2020 - Feb 2022
Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:256 reviews, 42 commits, 52 PRs in 1 year 5 months
Contributions summary:Y primarily worked on enhancing the `fluid-cloudnative/fluid` repository, focusing on adding support for non-root scenarios by leveraging init containers. They also modified Alluxio engine and goosefs engine. Additionally, the user made changes to several scripts, including `entrypoint.sh`. These modifications suggest the user's involvement in setting up and maintaining the underlying infrastructure, specifically the environment.
bigdataelasticfluidaccelerationai-applications
gocrane/crane
Jul 2022 - Aug 2022
Crane is a FinOps Platform for Cloud Resource Analytics and Economics in Kubernetes clusters. The goal is not only to help users to manage cloud cost easier but also ensure the quality of applications.
Role in this project:Back-end Developer
Back-end DeveloperContributions:34 reviews, 17 commits, 7 PRs in 1 month
Contributions summary:Y focused on developing the recommendation framework, a core component of the FinOps platform. They implemented the interface for recommenders, which included filter, prepare, recommend, and observe functionalities. The commits also involved the configuration and integration of the recommendation framework, along with the initial implementation of a replicas recommender. These changes involved modifications to various files including the recommendation framework's core components.
gcpcost-estimationgoalclustersaws
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