Rui Cao
Tech Lead at Alibaba Group
Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolRui Cao is a tech lead with eight years of focused experience driving architecture and high-QPS production systems at Alibaba, currently leading Autonavi CloudMap product development with a stack spanning Python, Java and modern LLM tooling. He previously architected the Autonavi Open Platform—refactoring synchronous APIs to asynchronous and halving server footprint while sustaining over one million daily QPS, work documented on InfoQ. His background blends GIS and mapping (MSc Computational Physical Geography, BSc GIS) with deep backend engineering, from Apple Maps services to gateway, authorization and quota systems. An active contributor to alibaba/pipcook, he brought Detectron2-based object detection into a web-friendly ML platform, bridging ML models and production pipelines. Pragmatic and hands-on, Rui pairs system-level thinking with plugin-level implementation, comfortable moving between low-level service optimizations and integrating cutting-edge ML frameworks. Based in Beijing, he combines geographic domain expertise with scalable cloud and LLM-driven solutions.
9 years of coding experience
16 years of employment as a software developer
Bachelor of Science (B.S.), Geographic Information Science and Cartography, Bachelor of Science (B.S.), Geographic Information Science and Cartography at Yunnan UniversityMaster of Science (MSc), Computational Physical Geography, Master of Science (MSc), Computational Physical Geography at University of Amsterdam
English, Japanese
Github Skills (7)
object-detection10
machine-learning10
python10
tensorflow9
pytorch9
computer-vision9
data-science8
Programming languages (5)
Github contributions (5)
alibaba/pipcook
Dec 2019 - Oct 2021
Machine learning platform for Web developers
Role in this project:
ML Engineer
ML EngineerContributions:32 releases, 137 reviews, 369 commits in 1 year 10 months
Contributions summary:Rui appears to be an ML Engineer, primarily focusing on implementing and integrating machine learning models within the `alibaba/pipcook` repository, a machine learning platform for web developers. Their contributions include the introduction of a new object detection plugin, `detectron2`, which involves setting up the environment, integrating Facebook's detectron2 framework, and implementing a prediction interface. The user also made changes to the existing data collection plugins and improved example pipelines demonstrating machine learning models.
machine-learningjstensorflowpipeline
ao333/IOTA-Visualizer
Jan 2018 - May 2018
Contributions:47 commits, 53 pushes, 4 branches in 4 months
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