Wang Jie
About Wang Jie
Wang Jie is a Project Engineer in R&D at Acer, where he has worked since 2015. He specializes in machine learning, system integration, and has contributed to various projects involving advanced technologies.
Work at Acer
Wang Jie has been employed at Acer since 2015, serving as a Project Engineer in the Research and Development (R&D) department for nine years. In this role, he has worked on various projects that leverage advanced technologies. His contributions include the design and implementation of machine learning models for captcha judgment and real-time face recognition, utilizing Python and TensorFlow. He has also played a significant role in the Acer Being Signage project, where he developed tools for managing multiple monitors and detecting signal and power issues.
Education and Expertise
Wang Jie earned a Master's degree in Information Engineering from National Central University, completing his studies from 2013 to 2015. His academic background has equipped him with a strong foundation in programming and system design. He has applied this knowledge in various professional projects, including the development of secure access systems and auto-detection tools using C++ and PowerShell.
Background
Wang Jie has a diverse background in technology and engineering, with a focus on machine learning and system integration. He has collaborated with industry partners, such as Aopen, to develop agents for AICU Devices, emphasizing synchronization and watchdog triggering. His experience extends to personal projects that explore advanced technologies, including motor control with servomotors and cryptocurrency mining tools.
Achievements
Wang Jie has contributed to several significant projects at Acer, including the development of the Acer CCD Platform as a Service (PaaS). This platform utilizes multiple programming languages, including C++, C, and Python, and features capabilities such as NAT traversal TCP/UDP Hole Punching and CCD Pressure control optimization. Additionally, he developed a robot cat with dynamic trot gait locomotion using System on Chip (SoC) technology, showcasing his innovative approach to engineering challenges.