Sapir Weissbuch

Senior Applied Scientist at Emerix

Israel
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Summary

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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.
code5 years of coding experience
job3 years of employment as a software developer
bookMaster's degree, Computer Science, 95, Master's degree, Computer Science, 95 at The Hebrew University of Jerusalem
bookBachelor of Science - BSc, Mathematics and Physics, 88, Bachelor of Science - BSc, Mathematics and Physics, 88 at Bar-Ilan University
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Github Skills (13)

diffusion-models9
python8
gpu7
machine-learning7
deep-learning7
numpy5
neural-network5
tensor3
gpu-acceleration3
autograd2
llm1
pytorch1
stable-diffusion1

Programming languages (3)

HTMLJupyter NotebookPython

Github contributions (5)

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SapirW/hebnlp_project

Sep 2021 - Sep 2021

Contributions:1 push in 1 day
SapirWeissbuch/longformer

Aug 2021 - Oct 2021

Longformer: The Long-Document Transformer
Contributions:3 pushes in 1 month
pytorchlongformerdeep-learningtransformerlong
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