Ron Mokady
VP Of Research at BRIA AI
Israel
Summary
🤩
Rockstar🎓
Top SchoolRon Mokady is a research-driven AI leader with eight years of experience advancing computer vision, machine learning, and graphics; he currently serves as VP of Research at BRIA AI, where he led training of the first large-scale diffusion model built on 100% legal data. A Tel Aviv University PhD student mentored by Prof. Daniel Cohen-Or and Dr. Amit Bermano, his work has been published in CVPR, ICLR, and SIGGRAPH and seeded a patent, reflecting a strong blend of theory and applied impact. He has honed production-focused research at Google and Facebook AI, contributing to next-generation visual editing tools and practical image-captioning and training pipelines (e.g., CLIP_prefix_caption). Known for moving ideas from papers to products, he combines deep academic rigor with hands-on model engineering and data preparation. Based in Israel, he brings leadership experience scaling research teams while retaining an engineer’s attention to implementation details.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Tel Aviv UniversityMaccabim-Reut High School
English, Hebrew
Github Skills (11)
transformers10
pytorch10
machine-learning10
gpt10
image-text10
image-annotation10
python10
data-processing9
jupyter-notebook9
nlp8
computer-vision8
Programming languages (3)
Github contributions (5)
rmokady/CLIP_prefix_caption
Sep 2021 - Feb 2022
Simple image captioning model
Role in this project:
ML Engineer
ML EngineerContributions:35 commits, 1 PR, 16 pushes in 5 months
Contributions summary:Ron primarily contributed to the project by uploading and updating a Jupyter Notebook for inference, likely related to using the image captioning model. They also made changes to the `train.py` and `parse_coco.py` files, indicating involvement in model training and data preparation. These changes suggest the user's focus on the model's implementation, training process, and data handling.
image-captioningimage-processingcomputer-visioncaptioning
rmokady/JOKR
Jun 2021 - Dec 2021
Implementation of "JOKR: Joint Keypoint Representation for Unsupervised Cross-Domain Motion Retargeting"
Contributions:38 commits, 34 pushes, 2 comments in 6 months
pytorchrepresentationretargetingunsupervised-learningdeep-learning
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