Shi Xunkai
Co Founder at JiangSu HaiTui Data Technology
Irvine, California, United States
Summary
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RockstarShi Xunkai is a co-founder and seasoned software professional with 11 years of experience building and scaling tech ventures from Irvine, California. He blends hands-on engineering—particularly backend, DevOps, and test automation—with entrepreneurial leadership at JiangSu HaiTui Data Technology. Shi has contributed to high-profile open-source ML projects like TensorFlow, improving TFLite build systems and CI workflows and adding robust golden tests for model validation. His work shows a practical focus on reproducible ML deployments to mobile/IoT and on ensuring model accuracy through automated testing. Comfortable bridging product, ops, and QA, he pairs imagination about AI with the pragmatic skills needed to ship reliable systems. An early marketing leadership role as CMO suggests he brings both technical depth and a sharpened sense for product positioning.
11 years of coding experience
Github Skills (14)
javas10
junit10
android-build10
tensorflow10
bazel10
build-automation10
java10
cicd10
test-automation10
android9
bitmaps9
bitmap9
computer-vision8
python8
Programming languages (6)
Github contributions (5)
tensorflow/tflite-support
Jun 2020 - Oct 2021
TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile / ioT devices.
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:5 releases, 15 reviews, 120 commits in 1 year 4 months
Contributions summary:Shi primarily focused on setting up and configuring build systems and dependencies for the TensorFlow Lite Support repository. This included adding third-party tools for Java and Android builds, creating a CI helper script, and integrating Task library artifacts into the CI build process. Furthermore, the user was responsible for cleaning up the build, including updating dependencies, and improving the wheel build process.
iot-devicesmachine-learningtflite-modelstensorflowtflite
tensorflow/examples
Dec 2019 - Aug 2021
TensorFlow examples
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:10 commits in 1 year 8 months
Contributions summary:Shi primarily contributed to adding and updating golden tests within the repository. Their work focused on ensuring the accuracy of image classification and object detection applications within the TensorFlow examples. The commits involved modifying test code, loading images, and comparing results against expected values, demonstrating expertise in automated testing methodologies and the validation of machine-learning models.
tensorflow
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