Kai Zeng
Chief Architect Of Data AI Convergence
Hangzhou City, Zhejiang, China
Summary
🤩
Rockstar🎓
Top SchoolKai Zeng is Chief Architect of Data & AI Convergence at Huawei in Hangzhou, with 10 years of experience designing large-scale systems spanning cloud, databases and big data infrastructure. He previously led architecture for Huawei Cloud's Data Warehouse Service and held senior engineering and research roles at Alibaba and Microsoft, bringing production-grade cloud data platform experience. He holds a PhD in Computer Science from UCLA and serves as an adjunct professor, blending deep distributed-systems research with product-focused delivery. His background includes a Databricks internship and postdoctoral work at UC Berkeley, giving him practical insight into analytics engines and cutting-edge data research. He is known for architecting systems that tightly integrate scalable model training and analytics workflows across cloud environments.
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 (61)
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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