Summary
Renke Liu is a Data Scientist based in Singapore with 11 years of experience building AI-driven solutions for Industry 4.0, blending deep learning, mathematical optimization, and systems simulation. At Hyundai Motor Group Innovation Center in Singapore he architected scalable RAG backends on AWS, developed near real-time optimization for automated storage and picking, and delivered OEE tracking with automated root-cause analysis in live IoT environments. His PhD work on deep reinforcement learning informs practical deployments that improve operational efficiency and robustness across manufacturing and supply-chain decisions. Renke pairs academic rigor with hands-on engineering—designing ETL pipelines, anomaly detection, and predictive maintenance models that operate at factory scale. He also has experience in procurement and teaching, mentoring students and liaising with suppliers, which gives him a strong cross-functional perspective between research, operations and industry stakeholders. Quietly curious and an open-source enthusiast, he maintains a GitHub presence and a steady focus on translating research into production impact.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Leveraging deep reinforcement learning to improve operational efficiency in Industry 4.0 context., Doctor of Philosophy - PhD, Leveraging deep reinforcement learning to improve operational efficiency in Industry 4.0 context. at Nanyang Technological University
Bachelor of Engineering - BE, Vehicle Engineering, Bachelor of Engineering - BE, Vehicle Engineering at Hunan University
English, Chinese