Jiuqiang Tang
Staff Software Engineer at Google
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJiuqiang Tang is a Staff Software Engineer in Mountain View with nine years of experience building and shipping production ML systems at Google, specializing in on-device perception and generative models. He led development and cross-industry deployments for Core ML and Gemini Nano across heterogeneous NPUs, and drove state-of-the-art mobile inference for diffusion and audio models—work showcased at CVPR 2023 and ICASSP 2024. Earlier, he originated and scaled MediaPipe and MediaPipe Tasks, enabling millions of monthly installs and broad open-source adoption while powering features across Google Photos, YouTube Shorts, and Meet. His background in computer music and real-time gesture recognition informs a practical focus on low-latency, resource-efficient ML for edge devices. Colleagues know him for turning research-grade algorithms into production pipelines that run on constrained hardware and for bridging partnerships across chip vendors and product teams.
9 years of coding experience
10 years of employment as a software developer
Master of Science (MS) Computer Music and Technology, Master of Science (MS) Computer Music and Technology at Carnegie Mellon University
English, Chinese
Github Skills (46)
calculator10
mobile-development10
mediapipe10
marshalling10
protocol-buffers10
video-processing10
graph-framework10
machine-learning10
audio-processing10
cross-platform10
inference10
data-interchange10
pipeline-framework10
serialization10
protoc10
Programming languages (2)
Github contributions (5)
jiuqiant/mediapipe_face_detection_aar_example
Oct 2019 - Apr 2021
Contributions:4 pushes, 1 branch, 1 comment in 1 year 6 months
jiuqiant/mediapipe_multi_hands_tracking_aar_example
Dec 2019 - Jan 2021
Contributions:2 pushes, 1 branch in 1 year 1 month
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