Mingke Chen
About Mingke Chen
Mingke Chen is a Senior Project Engineer specializing in backend development, currently working at 宏碁 in New Taipei. He has expertise in code migration, API development, and deep learning architecture for medical applications.
Work at Acer
Mingke Chen has been employed at 宏碁 (Acer) since 2017, serving as a Senior Project Engineer in the backend division. In this role, he has contributed to various projects, focusing on enhancing performance and improving deployment processes. His responsibilities include designing and developing web services and managing medical projects, ensuring effective collaboration with client-side developers. Chen's expertise in backend engineering has been instrumental in advancing Acer's technical capabilities.
Education and Expertise
Mingke Chen earned a Master’s Degree in Computer Science from Louisiana Tech University, where he studied from 2013 to 2015. His educational background has equipped him with a strong foundation in software development and engineering principles. Chen specializes in backend development, particularly in Python and C/C++, and has experience with deep learning frameworks such as TensorFlow. His expertise extends to API development and containerization, which are critical for modern software deployment.
Background
Prior to his current position at Acer, Mingke Chen worked as an Algorithm Engineer at Sanjet for a brief period in 2016. His role focused on Advanced Driver Assistance Systems (ADAS) and computer vision technologies. This experience contributed to his understanding of complex algorithms and their applications in real-world scenarios. Chen's background in both academic and professional settings has shaped his approach to project engineering and software development.
Achievements
Mingke Chen has implemented several significant projects during his career. He successfully migrated code from Python to C/C++ using Cython to enhance performance. Additionally, he designed and established container development guidelines to streamline deployment processes. Chen developed REST and Schema API web services for medical diagnosis systems and created a deep learning training architecture for medical applications. His work includes building a medical data pipeline and a performance tool for optimizing AI model efficiency.