Jou-ching Sung

Head Of Artificial Intelligence at GAZAI

New Taipei, Taiwan
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Summary

👤
Senior
🎓
Top School
Jou-ching Sung is a Head of Artificial Intelligence with a decade of experience building practical, production-ready ML systems across autonomy, personalization, and generative media. Currently leading GAZAI’s multi-year AI roadmap, he hires and shapes teams to deliver custom agents, companions, and image/video generation pipelines while keeping costs and deployment complexity in check. His background spans applied research and scaled production—designing recommender systems for 50M+ Amazon Music users and developing reinforcement- and imitation-learning solutions for BMW’s autonomous prototypes. Trained as an electrical and computer engineer at the University of Michigan, he uniquely combines chip-design rigor from AMD with modern deep learning expertise, enabling efficient ML infrastructure and novel model development. Known for turning exploratory proofs-of-concept into deployed products, he focuses on staying ahead of new AI advances and translating them into usable features.
code10 years of coding experience
job14 years of employment as a software developer
bookMaster of Science (M.S.) Electrical Engineering, Master of Science (M.S.) Electrical Engineering at University of Michigan
languagesChinese, English
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Github Skills (45)

pytorch10
camera-calibration10
python10
machine-learning10
multibox10
multimodal10
llm10
audio10
deep-learning10
tensorflow10
natural-language-processing10
object-detection10
computer-vision10
transformer10
speech-recognition10

Programming languages (3)

HTMLJupyter NotebookPython

Github contributions (5)

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georgesung/tennis-match

May 2016 - Sep 2016

Contributions:101 commits, 66 pushes, 1 branch in 4 months
Implementation of Single Shot MultiBox Detector in TensorFlow, to detect and classify traffic signs
Contributions:11 commits, 7 pushes, 1 branch in 4 years 10 months
multiboxtensorflowobject-detectioncomputer-visionssd
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