Enpei Wu
Account Manager FAE at Luxshare Precision Industry Co., Ltd.
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolEnpei Wu is an Account Manager/FAE with 11 years of engineering and product design experience, currently based in the San Francisco Bay Area and working closely with Apple on wearable component programs. He blends mechanical engineering foundations and a Master’s in Engineering Management with hands-on skills in CAD, DOE, failure analysis, and manufacturing process optimization across over-multi-million-dollar projects. Enpei has transitioned between frontline product design and customer-facing roles—translating Apple design intent to factory execution, negotiating cost and supply plans, and driving QoQ cost-down initiatives. He also codes: contributing computer vision projects that leverage OpenCV, MediaPipe, YOLO and Deep SORT for gesture and vehicle detection, showing a practical cross-domain fluency. Known for balancing technical rigor with commercial strategy, he routinely leads on-site troubleshooting, SOP creation, and cross-functional communication to ensure successful product launches.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Applied Science (B.A.Sc.), Mechanical Engineering, 3.3, Bachelor of Applied Science (B.A.Sc.), Mechanical Engineering, 3.3 at University of California, Irvine
English, Chinese
Github Skills (4)
opencv10
python10
computer-vision10
machine-learning9
Programming languages (4)
Github contributions (5)
enpeizhao/CVprojects
Nov 2021 - Nov 2022
computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++、embedded system）
Role in this project:
Computer Vision Engineer
Computer Vision EngineerContributions:3 releases, 5 reviews, 103 commits in 11 months
Contributions summary:Enpei primarily worked on computer vision projects, implementing and integrating various techniques within the repository. Their contributions involved adding Python scripts for tasks such as virtual drag and drop functionality and developing a system for recognizing and processing images. The code additions suggest a focus on leveraging libraries like OpenCV and media pipe for hand gesture recognition and related image processing tasks. The user also worked on projects related to automatic vehicle detection, deep sort, and YOLO.
pythoncppvisiondeep-learningcomputer-vision
enpeizhao/machine-learning
May 2017 - Feb 2022
Contributions:47 pushes, 1 branch, 4 comments in 4 years 9 months
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