Kwot Lee is a machine learning engineer with a decade of experience building multimodal AI systems, currently a Member of Technical Staff at xAI in Palo Alto. Previously at Snap he led multimodal LLM efforts for video and AR, launched an embedding-based visual search used by millions, and co-authored multiple patents and top-tier publications. Author of the Mimicry open-source project and active under the handle @kwotsin-xai on GitHub, he blends research rigor (NeurIPS/WACV work) with product-driven engineering. Trained at the University of Cambridge, he has a track record of turning short prototypes into production systems with measurable engagement gains and a knack for shipping large-scale synthetic-data pipelines for text-to-video and content understanding.
10 years of coding experience
5 years of employment as a software developer
BA (Hons) Computer Science Tripos, BA (Hons) Computer Science Tripos at University of Cambridge
Contributions:32 commits, 29 pushes, 1 branch in 2 years 8 months
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