Josh Lewittes is a CTO based in the Tel-Aviv District with eight years of experience building data-driven backend systems and machine learning products. He moved from finance at Citi, where he modeled complex ABS cash flows, into applied ML and engineering roles—building behavioral fraud classifiers, OCR backends for financial documents, and production ML deployments. As CTO at Runhouse he combines hands-on system design with ML operationalization, following earlier roles as an ML engineer at Gloat and full-stack/data science training through Israel Tech Challenge. Josh’s background blends quantitative finance rigor with practical software and MLOps experience, making him comfortable translating research models into scalable, auditable services. A subtle strength is his cross-domain fluency: he understands both the financial implications of models and the engineering needed to run them reliably in production.
9 years of coding experience
4 years of employment as a software developer
Data Science, Data Science at Israel Tech Challenge <itc>
Contributions:5094 pushes, 1060 branches in 1 year 7 months
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