Zhu Zhanyan
Data Engineer Intern
Singapore
Summary
🤩
Rockstar🎓
Top SchoolZhu Zhanyan is a data-focused software engineer and current Data Engineer Intern at IRAS, blending practical production experience with open-source backend contributions. With a decade of hands-on experience, he has modernised legacy data workflows, built cross-platform transpilers, and architected Kedro/Azure pipelines to power a LanceDB-backed RAG application. Previously at Gojek he helped build an internal feature store and resolved critical Redis schema issues, and his Feast contributions improved SDK security and ingestion management for a widely used ML feature store. Comfortable across Python, Java, Go, Spark and cloud stacks, he pairs pragmatic engineering (automations that eliminated manual refreshes) with a penchant for maintainable, auditable systems. Based in Singapore and studying CS at NTU, he often bridges research-to-production gaps by making complex ML data infrastructure reproducible and easier to operate.
10 years of coding experience
1 year of employment as a software developer
Diploma in Infomation Technology Information Technology, Diploma in Infomation Technology Information Technology at Ngee Ann PolytechnicOrdinary Certificate of Education, Ordinary Certificate of Education at School of Science and Technology, SingaporeBachelor of Engineering - BE Computer Science Computer Science, Bachelor of Engineering - BE Computer Science Computer Science at Nanyang Technological University Singapore
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (13)
javas10
feature-store10
go10
back-end-development10
java10
data-engineering9
user-authentication9
authentication9
tls128
mtls8
libtls8
tls138
machine-learning6
Programming languages (19)
Github contributions (5)
feast-dev/feast
Mar 2020 - Apr 2021
The Open Source Feature Store for Machine Learning
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 releases, 40 reviews, 81 commits in 1 year
Contributions summary:Zhu primarily focused on improving the codebase's consistency and maintainability within the Feast feature store. Their contributions involved standardizing the use of `Runner.toString()` and `Runner.name()` to render human-readable strings and for code dependencies. The user also addressed bugs related to feature set conversions within the `DataflowJobManager` and added API features for ingestion job management within the Feast Core. Additionally, they updated Java and Go SDKs with authentication and TLS support.
pythondata-qualitydata-sciencemlmachine-learning
mrzzy/nimbus
Jul 2021 - Dec 2022
Self-hosted services in the Cloud.
Contributions:32 reviews, 184 commits, 314 PRs in 1 year 5 months
cloudhostedkubernetesdockeriaac
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