Kangrui Ruan is an applied scientist with 11 years of experience blending machine learning research and engineering, currently working on LLMs for coding and multi-turn RL agents at AWS AI Lab. He holds a PhD from Columbia focused on deep learning, causality, and smart-city transportation, and has published research across causal inference, reinforcement learning, and representation learning. His background spans academia and industry—research at Columbia, an Amazon AGI Foundations internship, and practical ML engineering on multi-vehicle tracking with 90% accuracy—demonstrating an ability to move ideas from theory to production. Based in New York, he seeks machine learning/data science internship or research opportunities and brings a cross-disciplinary foundation in civil engineering and law that informs his systems-level approach to real-world problems.
11 years of coding experience
4 years of employment as a software developer
bachlor, Civil Engineering, bachlor, Civil Engineering at Tongji University
Bachelor's degree, Civil Engineering, Bachelor's degree, Civil Engineering at UPC School (Universitat Politècnica de Catalunya)
Doctor of Philosophy - PhD, Smart Cities, Deep Learning, Causal inference, Doctor of Philosophy - PhD, Smart Cities, Deep Learning, Causal inference at Columbia University in the City of New York
Advanced Infrastructure Systems, Advanced Infrastructure Systems at Carnegie Mellon University
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Kangrui Ruan - Applied Scientist at Amazon Web Services (AWS)