Summary
Jiasen Wu is a Senior Research HPC Engineer with 15 years of experience architecting high-performance and machine learning systems across enterprise and startup environments in Germany. He blends deep expertise in operating systems, programming languages, and software engineering with practical AI work—having built experiment schedulers, artifact trackers, and end-to-end DL training and deployment frameworks. His career spans IBM mainframe runtime development to accelerating AI performance at ParTec and DeepL, showing a rare combination of low-level systems insight and applied ML engineering. Based in Bavaria, he pursues AI from both logical and machine-learning perspectives, often focusing on tooling and automation to avoid common deployment pitfalls. Colleagues benefit from his thoughtful, research-driven approach that turns complex performance needs into reliable production solutions.
15 years of coding experience
14 years of employment as a software developer
Master's Degree, Computer Science and Technology, Master's Degree, Computer Science and Technology at Nanjing University
English, German, Chinese