Sapir Weissbuch is a Senior Applied Scientist based in Israel with 4 years of experience building and scaling generative AI models for image and video. With an M.Sc. from the Hebrew University focused on NLP, she bridges natural language and vision research—having trained and fine-tuned large diffusion-based image and realtime video generation models at Lightricks, including work on LTX-Video and LongAnimateDiff. She has hands-on experience with large-scale training on cloud TPUs/GPUs and turning research prototypes into production integrations. Comfortable across PyTorch-style research pipelines, SQL-backed data exploration, and practical model engineering, Sapir combines rigorous academic training in CS and strong quantitative foundations from a BSc in Mathematics and Physics. An observant researcher, she often brings cross-modal insights from NLP into video-generation problems, improving temporal coherence and conditioning.
4 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, 95, Master's degree, Computer Science, 95 at The Hebrew University of Jerusalem
Bachelor of Science - BSc, Mathematics and Physics, 88, Bachelor of Science - BSc, Mathematics and Physics, 88 at Bar-Ilan University
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