Kuei-jung Hu is a software engineer with a decade of experience building mobile-first, cross-platform products from SDKs to full-stack services, currently contributing at Drivemode in San Francisco. He has deep Android and iOS expertise—shipping Kotlin, Swift, and Flutter SDKs—and has led size-and-fit recommendation features, backend services in Python/Chalice, and real-time apps leveraging WebSocket and FFmpeg. His background spans VR educational apps, BLE device integrations, and DSP research, reflecting a blend of pragmatic product focus and systems-level curiosity. Kuei-jung thrives when business goals are clear and translated into a “treasure map” for engineering teams, and he enjoys tinkering with emerging tech—dreaming up playful projects like VR for dogs or a quokka selfie camera. Notably, he pairs formal CS and deep learning study with entrepreneurial experience running an e-commerce shop, giving him both research rigor and user-centered product instincts.
10 years of coding experience
6 years of employment as a software developer
Deep Learning Nanodegree, Deep Learning Nanodegree at Udacity
Certificate, Software Engineering And Quality, Certificate, Software Engineering And Quality at UCSC Silicon Valley Extension
Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at National Chung Hsing University
Master's degree, Computer Science, Master's degree, Computer Science at National Tsing Hua University
Contributions:24 commits, 1 PR, 19 pushes in 11 months
deep-learningpytorchpythonmachine-learning
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