Ron Sinai
Applied Scientist, Computer Vision Researcher at Imagene AI
Israel
Summary
👤
Senior🎓
Top SchoolRon Sinai is an applied scientist and computer vision researcher with 11 years of experience building production-ready ML systems across space and healthtech domains. He specializes in semi- and self-supervised methods, domain-generalization, and weakly-labeled classification and segmentation for digital pathology at Imagene.AI. Previously he founded and led a multidisciplinary computer vision R&D team in Israeli Military Intelligence, delivering automated satellite imaging pipelines and microservices that materially reduced operational workloads. Comfortable bridging research and engineering, he has hands-on experience across C++, Node.js, DevOps tooling and designing scalable microservices and CI/CD. Known for adaptability and a pragmatic, data-first approach, he pairs scientific rigor from an MS in Computer Science with operational leadership in high-stakes environments. Colleagues note his quick learning curve and knack for turning complex data problems into robust, deployable solutions.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Tel Aviv UniversityMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Bar-Ilan University
Hebrew, English
Stackoverflow
33reputation
4kreached
1answer
4questions
Github Skills (36)
mongodb10
asynchronous9
orm9
nodejs9
modeling9
odm9
python8
async-await7
powershell6
jenkins6
jenkins-plugin6
aws-lambda6
getfiles6
amazon-web-services6
environment-variables6
Programming languages (5)
Github contributions (5)
DanielaBWeiss/BeerW-BigData-Project
Aug 2019 - Oct 2019
Data Science project for a course in a collaboration with a company using their big data.
Contributions:58 commits, 10 PRs, 39 pushes in 2 months
pythonsciencedata-sciencecollaborationmachine-learning
ronsinai/BeerW-BigData-Project
Jul 2019 - Oct 2019
Data Science project for a course in a collaboration with a company using their big data.
Contributions:63 pushes, 3 branches in 3 months
pythonsciencedata-sciencecollaborationmachine-learning
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