Summary
Yu-ren Ke is an AI Engineer based in Taipei with a decade of software experience bridging embedded mobile protocol stacks and modern machine learning systems. He began his career implementing GSM/WCDMA data-plane protocols and middleware, driving measurable performance gains (e.g., 50% throughput improvement and 40% MIPS reduction), and has since transitioned into ML work such as image-captioning, BERT-based customer service auto-reply, visual search APIs, and recommendation systems that improved CTR by 4–8%. Comfortable in C, Python and mobile/embedded environments, he combines low-level networking insight with applied ML for practical product impact. He trained at Taiwan AI Academy and brings hands-on experience shipping algorithms into production at PIXNET and his current role at 睿訊有限公司. An often-overlooked strength is his track record of diagnosing complex network/system issues, which helps him tune ML systems for real-world constraints like latency and resource usage.
10 years of coding experience
11 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at National Chiao Tung University
English, Chinese