Yu Liu
Senior AI BMS Engineer (Digital Twin Physics-Informed RL Edge AI) at XING Mobility
Taoyuan City, Taiwan
Summary
🤩
Rockstar🎓
Top SchoolYu Liu is a Senior AI BMS Engineer with 8 years of experience building industrial Physical AI, Edge AI, and digital twin systems that drive real-world energy and thermal efficiency gains. He has delivered physics-informed forecasting and RL controllers that materially cut temperature variation and energy use, and led Jetson Orin NX edge deployments that reduced cooling standby time by 77% in field pilots. Yu pairs time-series and physics-aware models (PRNN/TCN, physics penalties) with practical productization—DB, pipelines, Grafana dashboards and CI—to move proofs-of-concept into sustained production. He also has hands-on LLM/RAG product architecture experience and shipped Japan’s first LLM-driven travel search MVP, improving retrieval quality through graph-based RAG innovations. Earlier work spans real-time computer vision systems and scalable data products at banks, reflecting a blend of full-stack delivery and rigorous engineering process. Based in Taoyuan City, Taiwan, he combines academic training in industrial engineering with a knack for turning log-derived domain knowledge into fast, high-impact ML solutions.
8 years of coding experience
Master's degree Accounting Information , Master's degree Accounting Information at National Taipei University of BusinessExchange Program Institute of Information Management and Computer Science, Exchange Program Institute of Information Management and Computer Science at Shanghai UniversityMaster's degree Industrial Engineering, Master's degree Industrial Engineering at National Tsing Hua University
Github Skills (9)
computer-vision10
machine-learning10
deep-learning10
tensorflow10
python10
image-processing10
optical-flow9
mask-rcnn9
faster-rcnn9
Programming languages (3)
Github contributions (5)
alex04072000/ObstructionRemoval
Mar 2020 - Aug 2021
[CVPR 2020] Learning to See Through Obstructions
Role in this project:
ML Engineer
ML EngineerContributions:50 commits, 34 pushes, 5 comments in 1 year 5 months
Contributions summary:Yu appears to be developing and refining a machine-learning model for image processing, specifically designed for obstruction removal, based on the repository's description. Their initial commit establishes the foundational model structure within `model.py`. Subsequent commits introduce and integrate components using TensorFlow, including warping functions, fusion layers, and image reconstruction techniques, indicative of model training and evaluation. The user also integrates a PWC-Net model, showcasing the implementation of complex machine-learning architectures within the project.
pytorchdeep-learningcvpr-2020see-throughcomputer-vision
yulunalexliu/yulunalexliu.github.io
Jul 2023 - Apr 2025
Contributions:178 pushes, 20 branches in 1 year 8 months
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