Kai Hui is a Staff Research Scientist at Google DeepMind with 11 years of experience advancing foundation models, particularly in agentic reasoning and pre-/post-training data strategies that improved complex problem-solving and model knowledge in products like Gemini and Deep Search. He holds a Ph.D. from the Max-Planck Institute for Informatics where he worked on neural information retrieval and evaluation, and has authored over 30 peer-reviewed papers while serving on program committees and editorial boards. Kai’s career spans applied ML roles at Amazon Alexa and SAP, where he built production QA models and image segmentation systems for enterprise software, reflecting a rare blend of research rigor and production engineering. Known for proposing novel agentic designs, he bridges cutting-edge research with product impact in GenAI, and often focuses on how curated data pipelines amplify model capabilities beyond architecture changes.
11 years of coding experience
15 years of employment as a software developer
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at University of Chinese Academy of Sciences
Bachelor of management Logistics Materials and Supply Chain Management, Bachelor of management Logistics Materials and Supply Chain Management at Beijing Jiaotong University
Doctor of Engineering Information Retrieval, Doctor of Engineering Information Retrieval at Universität des Saarlandes
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Kai Hui - Staff Research Scientist at Google DeepMind