Ying Chu
Machine Learning Engineer at 高通
Taiwan
Summary
👤
Senior🎓
Top SchoolYing Chu is a Machine Learning Engineer with eight years' experience applying statistics, signal processing, and time-series methods to industrial problems, from motion control on embedded Arm Cortex devices to production-yield and RMA analytics at Qualcomm. She combines a strong engineering foundation (M.S. in Mechanical Engineering, NTU) with hands-on software skills in Python, C/C++, Docker and CI/CD to deliver production-ready ML systems and pipelines. Ying has led cross-functional predictive maintenance projects for large hardware fleets, built auto-ML and PdM platforms, and implemented LLM/RAG-based internal tools to streamline knowledge and Jira workflows. Equally comfortable mentoring interns and translating complex algorithms into practical solutions, she excels at turning noisy equipment data into actionable insights that improve yield and reduce downtime. An analytical thinker who began by shipping real-time control algorithms on PLCs, she brings uncommon depth across embedded systems, industrial AI, and operational deployment.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Mechanical Engineering, GPA: 3.92/4.3, Master's degree, Mechanical Engineering, GPA: 3.92/4.3 at 國立臺灣大學
English, maderinGithub contributions (5)
EvaYHChu/raspberry-pi-2
Feb 2018 - Feb 2023
Contributions:57 commits, 57 pushes, 1 branch in 5 years
EvaYHChu/homepage
Jul 2018 - Oct 2022
Contributions:124 pushes, 1 branch in 4 years 3 months
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