Summary
Yonatan Alon is a founder and CTO based in Tel Aviv who builds platforms that make cutting-edge AI models accessible for businesses and consumers, currently scaling Norman to automate low-friction model deployment and inference. With nine years of industry experience and almost fifteen years of continuous self-driven learning, he blends hands-on engineering (from web front-ends to highly optimized execution engines) with research-led MLOps work. His background includes reducing forecasting error by over 90% at InfiniGrow through novel harmonic and Bayesian methods, leading major performance improvements as a tech lead at Backbox, and publishing research on model deployment and generation tasks. Comfortable moving between product, research, and infrastructure, he’s as likely to prototype a no-code inference pipeline as to ship production systems that improve execution speed by orders of magnitude. He also draws on leadership experience from the IDF training large cohorts, a detail that surfaces in his pragmatic, teach-first approach to technical teams.
9 years of coding experience
8 years of employment as a software developer
5 point Bagrut matriculation Computers Mathematics English and Arabic, 5 point Bagrut matriculation Computers Mathematics English and Arabic at Dror high school
Mathematics, Mathematics at The Open University of Israel
English, Hebrew, Arabic