Kai Tee is an AI engineer with 11 years of experience designing, prototyping, and scaling ML and LLM systems for production, currently based in Singapore. He led Grab’s shift to event-driven, AI-powered safety and content moderation platforms—building hybrid ML-LLM pipelines and commercializing in-house facial recognition into GrabDefence. Kai blends deep technical execution (from facial recognition and PD modeling to audio-stream safety detection) with product-minded delivery, turning research prototypes into platform-scale services. Now at Tomoro, he continues to focus on operationalizing large models and real-time decision engines, bringing both academic training in data science and actuarial rigor to high-stakes, safety-critical systems. An understated strength is his track record of evolving single-use models into cross-company platforms that balance accuracy, latency, and compliance.
10 years of coding experience
6 years of employment as a software developer
Master of Science in Data Science Mathematics and Computer Science, Master of Science in Data Science Mathematics and Computer Science at The University of Texas at Austin
MircroBachelors in Computer Science Fundamental Computer Science, MircroBachelors in Computer Science Fundamental Computer Science at New York University
BSc (Honours) Actuarial Science, BSc (Honours) Actuarial Science at Universiti Tunku Abdul Rahman (UTAR)
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