Nataniel Ruiz
Senior Research Scientist at Google DeepMind
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolNataniel Ruiz is a Senior Research Scientist with a decade of experience specializing in controllable and personalized generative models for images and video, currently working on Veo at Google DeepMind. He co-authored DreamBooth and has driven influential work on personalization of generative models, synthetic-data testing, and controllable face synthesis across top conferences like CVPR, NeurIPS and ECCV. His background spans industry research roles at Google, Apple, Amazon and NEC Labs and a PhD from Boston University where his work earned awards and broad community attention. An active open-source contributor, he built widely used tools such as deep-head-pose and repositories with thousands of stars that reflect a practical focus on reproducibility and model debugging. Notably, his research blends rigorous evaluation methodologies (simulated adversarial testing) with real-world deployments, a combination that accelerates both scientific insight and product-ready features.
10 years of coding experience
10 years of employment as a software developer
Classe préparatoire aux grandes écoles Physique - Technologie - Sciences de l'Ingénieur, Classe préparatoire aux grandes écoles Physique - Technologie - Sciences de l'Ingénieur at Lycée Jean Baptiste SayMaster of Science (M.Sc.) Data Science, Master of Science (M.Sc.) Data Science at École PolytechniqueMaster of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Georgia Institute of TechnologyDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Boston University
English, Spanish, French
Github Skills (10)
neural-network10
mask-rcnn10
faster-rcnn10
computer-vision10
pytorch10
deep-learning10
deep-neural-networks10
python10
machine-learning9
tensorflow3
Programming languages (5)
Github contributions (5)
natanielruiz/deep-head-pose
Oct 2017 - Oct 2019
:fire::fire: Deep Learning Head Pose Estimation using PyTorch.
Role in this project:
ML Engineer
ML EngineerContributions:61 commits, 42 pushes, 1 branch in 1 year 11 months
Contributions summary:Nataniel primarily contributed to the development and testing of head pose estimation models. Their commits involved modifications to dataset loading, model training, and evaluation scripts. Code changes include adjustments to the loss functions, continuous prediction calculations, and the addition of visualization tools for debugging. The user worked across multiple model architectures, including AlexNet and ResNet50, suggesting a focus on model experimentation.
pytorchhead-posehead-pose-estimationdeep-learningpose-estimation
natanielruiz/android-yolo
Dec 2016 - Sep 2021
Real-time object detection on Android using the YOLO network with TensorFlow
Contributions:9 commits, 1 PR, 13 pushes in 4 years 10 months
pascal-vocandroid-studiopredictiondetectionapk
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