Noam R
CTO at Innocuous AI
Canada
Summary
👤
Senior🎓
Top SchoolNoam R is a CTO and AI specialist with a decade of experience building production-grade ML systems, cloud-native architectures, and MLOps platforms across AWS, GCP, and Azure. He combines deep learning and AutoML research with hands-on engineering—coding data pipelines, Kubernetes clusters, and model training/tuning for generative AI and LangChain agents. As founder of Innocuous AI and author of Innocuous Book, ZazuML and a sole open-source recreation of AutoDeeplab, he translates research breakthroughs into scalable products and reproducible open-source tools. His background spans leadership roles from AutoML lead to chief technologist, and an early career in intelligence analysis that underpins a pragmatic, security-minded approach to data systems. Known for bridging technical and business teams, he brings autonomy, strong communication, and a knack for turning complex algorithms into operational value. Based in Canada, he remains actively engaged in cloud devops, algorithmic innovation, and community-facing OSS projects.
10 years of coding experience
9 years of employment as a software developer
M.Sc. Information Systems Data Sciences Deep Learning, M.Sc. Information Systems Data Sciences Deep Learning at Tel Aviv UniversityBachelor of Economics (Game Theory focus), Bachelor of Economics (Game Theory focus) at The Hebrew University of Jerusalem
English, Hebrew, Chinese
Github Skills (21)
segmentation10
automl10
deeplab10
pytorch9
machine-learning9
semantic-segmentation9
semantic9
heatmap9
contrast9
object-detection9
polygon7
deep-learning7
image-augmentation6
affine-transformation6
hierarchical6
Programming languages (2)
Github contributions (5)
NoamRosenberg/anchor-free-retinanet
Mar 2019 - May 2019
Contributions:57 commits, 5 pushes, 4 branches in 1 month
NoamRosenberg/autodeeplab
May 2019 - Nov 2019
AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch
Contributions:206 commits, 54 PRs, 177 pushes in 5 months
pytorchsemantic-segmentationdeeplabdeep-learningautoml
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