Meng-jiun Chiou is an applied scientist with over a decade of experience and a PhD in Computer Science from the National University of Singapore, currently building ambient smart-home intelligence at Amazon Alexa. He specializes in computer vision and multimodal ML, shipping real-time home layout estimation, person detection for Ring cameras, and LLM-driven conversational agents for Alexa+. His work bridges rigorous academic research—multiple conference publications, three U.S. patent filings, and peer-review duties for NeurIPS/CVPR—with product-focused deployment in large-scale consumer systems across Taipei, Singapore, and the Bay Area. Comfortable coding in Python/PyTorch and fluent in Chinese, English, and Japanese, he pairs 3D scene reconstruction and human-object interaction expertise with hands-on LLM fine-tuning to make interactions more natural. An oft-overlooked strength is his consistent role across both research and engineering tracks, enabling him to move ideas from papers to production features that impact millions.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science Electrical and Computer Engineering, Bachelor of Science Electrical and Computer Engineering at National Chiao Tung University
University of Tokyo
Senior High School Diploma, Senior High School Diploma at Taipei Municipal Jianguo High School
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at National University of Singapore
Chinese, English, Japanese, southern min (minnan, hokkien-taiwanese)
Contributions:49 commits, 48 pushes, 1 branch in 1 month
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