Summary
Lin-hung Wei is a machine learning engineer based in Stockholm with 11 years of experience building production-ready systems across automotive, cloud, and embedded domains. He has moved from modern C++ and Adaptive AUTOSAR for ADAS to cloud-native backends on AWS and now focuses on deep learning for automotive Ethernet anomaly detection and 3D occupancy prediction for autonomous trucks. Comfortable with the full ML lifecycle, he uses PyTorch, MLflow and experiment visualization tools while exploring foundation models and prompt engineering. His background in cloud security, IaC (AWS CDK) and real-time vehicle data pipelines complements a research-oriented approach—regularly reviewing academic papers to push model performance. Colleagues describe him as self-motivated and cross-culturally fluent, able to translate academic advances into robust, deployed vehicle software.
11 years of coding experience
7 years of employment as a software developer
Bachelor's Degree Computer Science, Bachelor's Degree Computer Science at National Taiwan Ocean University
Master's degree (Exchange student) Computer Science, Master's degree (Exchange student) Computer Science at Linköping University
Master's degree Computer Science, Master's degree Computer Science at National Tsing Hua University
Chinese, English, Spanish, Mandarin, Swedish