Omer Belhasin is a Senior AI Researcher and Technion PhD candidate specializing in diffusion models for computer vision, with a decade of software development experience and five years focused on machine learning research. He builds reliable generative AI by improving model performance and producing uncertainty assessments that make outputs more trustworthy for real-world applications. His industry work spans research roles at Verily and IBM—where he developed distributed, serverless systems for large-scale medical image analysis—and he now accelerates deep neural networks at NVIDIA. Comfortable bridging academic rigor and production constraints, Omer combines deep theoretical knowledge with hands-on system engineering, and his background in cloud-scale anomaly detection hints at a pragmatic bent for turning research into robust, scalable tools.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Technion - Israel Institute of Technology
Lithops-based Serverless implementation of the METASPACE spatial metabolomics annotation pipeline
Contributions:210 commits, 64 PRs, 113 pushes in 1 year 5 months
pipelineibm-cloudserverlessibmaws
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