Summary
Jiasen Wu is a senior machine learning engineer based in Bavaria with 14 years of software and AI experience spanning enterprise analytics, data processing, and deployment tooling. He currently leads ML initiatives at Aignostics, building end-to-end capabilities from experimentation to production, and previously created in-house DL schedulers, artifact trackers, and scalable data preprocessing and model training pipelines at CAPE Analytics. His career includes critical ML and software roles at ParTec, CAPE Analytics, KIANA Systems, and KPMG Deutschland, reflecting a consistent track record of delivering production-ready AI across industries. At IBM, he contributed to z/OS Language Environment and related runtime libraries, giving him deep experience with large-scale, enterprise-grade systems. He blends hands-on engineering with a systems-level mindset to accelerate ML workloads while maintaining reliability and observability. With a Master's in Computer Science from Nanjing University, he combines academic rigor with practical, production-focused delivery across diverse domains.
15 years of coding experience
13 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