Bruce Chou is a founder and CEO with 11 years of hands-on experience building scalable AI systems, particularly multi-agent workflows and computer vision for medical imaging. He combines deep technical fluency in Python, C++, JavaScript and cloud platforms with proven engineering leadership—scaling teams from scratch and shipping production-grade ML at companies from MediaTek to startup roles. His work includes published research in AI-driven medical imaging and practical open-source contributions like a Keras CheXNet implementation that improved model modularity and training robustness. Based in Taipei, he has steered product and technical strategy across roles as CTO and Director of Engineering before founding Wonderix. Colleagues describe him as a continuous learner and pragmatic entrepreneur who bridges research-grade models to deployable systems for real user impact.
11 years of coding experience
13 years of employment as a software developer
Master's degree Electrical and Electronics Engineering, Master's degree Electrical and Electronics Engineering at National Chiao Tung University
BS exchange program EECS, BS exchange program EECS at University of California, Berkeley
This project is a tool to build CheXNet-like models, written in Keras.
Role in this project:
ML Engineer
Contributions:59 commits, 8 PRs, 33 pushes in 2 years
Contributions summary:Bruce focused on developing and refining a CheXNet-like model in Keras. Their contributions included refactoring the model implementation using Keras default models and a model factory, integrating image generators, and addressing shape-related issues. Furthermore, the user introduced features such as worker control, and image dimension options.
A seamless integration of Chainlit with LangGraph. Ideal for fast prototyping multi-LLM chatbot or AI agents.
Contributions:2 releases, 37 PRs, 93 pushes in 9 months
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