Xiaozhong Hua
Self Employed
Haidian District, Beijing, China
Summary
👤
Senior🎓
Top SchoolXiaozhong Hua is an expert solution consultant and implementer with over 9 years of focused experience building practical, end-to-end systems that span on-device AI, IoT, full-stack web apps, and on-premises cloud clusters. He has a strong track record deploying resilient MicroK8s and Ceph/Rook bare-metal clusters and delivering "on-device" deep-learning solutions using TensorFlow Lite on Raspberry Pi and microcontrollers. His projects blend low-level embedded constraints with scalable backend and browser UIs—examples include real-time face recognition pipelines and an unconstrained driving-map generator combining Baidu Maps, Natron, and ffmpeg. A former senior integration manager at OpenTV China, he brings decades of systems integration and delivery experience alongside research-era development at CAS. He publishes practical, reproducible solutions on GitHub that emphasize resource-efficient, high-availability deployments and real-world device lifecycles. Colleagues describe him as self-motivated, team-oriented, and adept at turning complex technical requirements into deployable, maintainable systems.
9 years of coding experience
31 years of employment as a software developer
Master's degree, Computer Engineering (Software Engineering), Master's degree, Computer Engineering (Software Engineering) at University of Sciences and Technology of China (USTC)
English, Chinese
Github Skills (23)
python10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
raspberry7
tensorflow-lite7
artificial-intelligence4
raspberry-pi4
embedded4
iot3
esp323
Programming languages (3)
Github contributions (5)
huaxiaozhong1/tensorflow-lite-apps-on-raspberry-pi-3
Nov 2018 - Jul 2019
An "Off-line machine learning" (Offline AI, artificial intelligence) project, in which 2 tensorflow-lite apps are developed to run on Raspberry Pi 3. It hopes to propose a generic method on cross-developing, so that developer could fast follow to get your own apps started on Embedded intelligence (AI embedded system), smart object (AI IoT) and etc.
Contributions:21 commits, 19 pushes, 1 branch in 7 months
developingfollowtensorflowliteraspberry-pi
huaxiaozhong1/YourOwnModel-TfLite-RaspberryPi
Jul 2019 - Dec 2019
Contributions:5 commits, 4 pushes, 1 branch in 5 months
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