Yanchao Zhou
Software Engineer at TikTok
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolYanchao Zhou is a seasoned software engineer with 11 years of experience specializing in high-performance networking, NFV/SDN, and load balancer development. Based in Mountain View, he brings deep C++, Java, Python and systems expertise across Linux, DPDK, Kafka, Hadoop and cloud-native tooling, with a history of shipping optimizations and stability fixes in production systems. At TikTok/ByteDance and prior roles at GroundTruth and xAd he has focused on scalable, low-latency infrastructure and backend services. An active open-source contributor, he’s improved DPVS (a DPDK-based Layer-4 load balancer) through targeted bug fixes and memory/performance optimizations, demonstrating hands-on proficiency in connection management and kernel interfaces. He pairs a strong academic foundation (M.S. in Computer Engineering, Syracuse) with practical performance debugging skills (GDB, Valgrind, Perf), making him effective at both diagnosing bottlenecks and delivering robust system-level code.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Telecommunications Engineering, Bachelor of Science (B.S.), Telecommunications Engineering at Beijing University of Post and TelecommunicationsMaster of Science (M.S.), Computer Engineering (software), GPA: 3.8/4.0, Master of Science (M.S.), Computer Engineering (software), GPA: 3.8/4.0 at Syracuse University
Chinese, English
Github Skills (10)
c1710
dpdk10
bypass10
load-balancer10
c1110
kernel-mode10
ipvs10
performance-optimization9
debug9
networking8
Programming languages (4)
Github contributions (5)
iqiyi/dpvs
Sep 2021 - May 2022
DPVS is a high performance Layer-4 load balancer based on DPDK.
Role in this project:
Backend Developer
Backend DeveloperContributions:3 commits, 8 PRs, 1 comment in 7 months
Contributions summary:Yanchao primarily contributed to bug fixes and optimizations within the DPVS project, a high-performance Layer-4 load balancer. They addressed issues related to connection management, memory leaks, and initialization problems, specifically in areas like traffic control (TC), IPVS, and KNI (Kernel Network Interface). The contributions demonstrate a focus on improving the stability, performance, and efficiency of the load balancer's core functionality. They also fixed a typo and reduced memory usage.
snatnat64nfvbgpdpdk
zhouyangchao/chash
Dec 2015 - Jul 2016
Contributions:15 commits, 14 pushes, 1 branch in 7 months
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