Yuchao Zhou
Senior Data Analyst & Engineer
Beijing, China
Summary
👤
Senior🎓
Top SchoolYuchao Zhou is a Senior Data Analyst & Engineer with a PhD in Electrical and Electronics Engineering from the University of Surrey and about five years of industry experience focused on Smart Cities, IoT, and sensor networks. He combines academic research—event detection, missing data completion, anomaly detection, and AQI prediction—with hands-on engineering at Neolix, where he adapts and calibrates perception pipelines for autonomous driving hardware. Comfortable across Java, Python, MATLAB and C/C++, he has deployed time-series systems with Docker and InfluxDB and contributes calibration work to the high-profile Apollo autonomous driving platform. Fast to learn new tools and languages, he bridges research and production to deliver data-driven solutions for urban sensing and connected systems.
5 years of coding experience
Doctor of Philosophy (PhD), Electrical and Electronics Engineering, Awarded, Doctor of Philosophy (PhD), Electrical and Electronics Engineering, Awarded at University of Surrey
English, Chinese
Github Skills (18)
c-language10
camera10
apollo10
lidar10
cprogramming-language10
ros10
autonomous-driving10
perception9
yaml9
localization9
embedded8
data-pipeline8
data-pipelines8
sys8
configuration-management8
Programming languages (1)
Github contributions (3)
ApolloAuto/apollo
Sep 2020 - Feb 2021
An open autonomous driving platform
Role in this project:
Embedded Systems Engineer
Embedded Systems EngineerContributions:17 reviews, 15 commits, 26 PRs in 4 months
Contributions summary:Yuchao primarily contributes to the calibration data for autonomous driving systems within the Apollo platform. Their work involves configuring and integrating various sensor components, particularly lidars and cameras, using DAG files to define data processing pipelines. They focused on adapting the system for different hardware configurations (dev kits) from Neolix and other vendors, ensuring compatibility and optimizing data flow for perception and localization tasks. The user also makes minor changes to ensure functionality for different hardware configurations.
autonomousmachine-learningautonomyautonomous-drivingapollo
zyc0222/apollo
Aug 2020 - Feb 2021
An open autonomous driving platform
Contributions:2 PRs, 49 pushes, 32 branches in 5 months
autonomousmachine-learningautonomous-drivingautopilotmavlink
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