Zhong Zeng
Research Engineer at Huawei Technologies
Hangzhou City, Zhejiang, China
Summary
👤
Senior🎓
Top SchoolZhong Zeng is a research engineer at Huawei with 11 years of experience bridging database research and practical systems engineering, holding a Ph.D. from the National University of Singapore. His work focuses on database usability for non-technical users—keyword search, query relaxation/suggestion, visual analytics and exploratory search across heterogeneous data—grounded in both academic projects and production-oriented development. At NUS he led temporal keyword search research for medical records and previously modified PostgreSQL internals for XML full-text search, demonstrating deep systems-level expertise. He also contributes to high-profile open-source like the Linux kernel, improving code quality and build reliability through careful bug fixes and cleanups. Based in Hangzhou, he blends rigorous research instincts with pragmatic engineering to make complex data accessible and efficient for end users.
11 years of coding experience
Bachelor’s Degree, Compute, Bachelor’s Degree, Compute at Nankai UniversityComputer Science, Computer Science at Hong Kong Baptist UniversityDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at National University of Singapore
English, Chinese
Github Skills (11)
c1710
kernel10
code-optimization10
debug10
c1110
linux-kernel10
kernel-mode9
device-driver9
driver9
filesystem8
acpi6
Programming languages (3)
Github contributions (5)
torvalds/linux
Sep 2022 - Sep 2022
Linux kernel source tree
Role in this project:
Software Engineer (Focus on Code Quality and Bug Fixes)
Software Engineer (Focus on Code Quality and Bug Fixes)Contributions:2 commits in 5 days
Contributions summary:Zhong primarily focused on fixing compilation warnings and addressing potential code issues within the Linux kernel. Their commits involve identifying and resolving unused variables, often related to specific hardware drivers and filesystem components. The user demonstrated a strong understanding of code optimization and the importance of clean code practices by removing unnecessary elements and ensuring efficient resource utilization. The contributions were centered on improving code quality and addressing build warnings within the kernel.
kernellinux-kernellinuxkernel-source
henryZe/toycc
Aug 2022 - Feb 2023
Contributions:1 release, 222 commits, 389 pushes in 5 months
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