Kai Zeng
Chief Architect Of Data & AI Convergence
Hangzhou City, Zhejiang, China
Summary
🤩
Rockstar🎓
Top SchoolKai Zeng is a veteran systems and big data architect with 11 years of experience designing cloud-native data platforms and databases, now leading Data & AI Convergence as Chief Architect at Huawei in Hangzhou. He previously architected Huawei Cloud's Data Warehouse service and has held senior R&D roles at Alibaba, Microsoft, and Databricks, blending research-grade rigor with production-grade engineering. A UCLA PhD and former UC Berkeley postdoc, he bridges academic foundations and industry scale to solve distributed systems and cloud computing challenges. He also serves as an adjunct professor, signaling ongoing engagement with research and talent development. Kai maintains a public technical presence (https://kai-zeng.github.io/) that surfaces his practical work and interests across systems, cloud, and data infrastructure. Peers describe him as a pragmatic innovator who translates deep systems knowledge into scalable, enterprise-grade data products.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of California, Los AngelesBachelor of Engineering (B.E.), Computer Software Engineering, Bachelor of Engineering (B.E.), Computer Software Engineering at Zhejiang University
Github Skills (57)
apache-spark10
spark10
python10
near-real-time10
gnn10
r10
dstream10
big-data10
mapreduce10
hadoop10
spark-streaming10
apache10
jdbc10
analytics10
java10
Programming languages (3)
Github contributions (5)
kai-zeng/SparkCLR
Dec 2015 - Apr 2016
Contributions:2 PRs, 155 pushes, 20 branches in 4 months
apachesparkscalaapache-sparkextensions
kai-zeng/kai-zeng.github.io
Jan 2018 - Nov 2024
Contributions:75 pushes, 2 branches in 6 years 10 months
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