Georg Goerg is a Director of Engineering for AI with 12 years of experience building and scaling ML platforms, most recently as a founding engineer behind EvolutionIQ’s $730M exit where he led the AI systems now used by major U.S. carriers for complex claims decisions. He has led multiple 0→1 product launches and engineering teams across frontend, backend, data infrastructure, and ML, and currently owns AI strategy, hiring, and architecture at EvolutionIQ. Before joining startups he spent 7+ years at Google as a Staff tech lead driving research and production across Ads, Search, YouTube, and infrastructure, with work spanning causal ML, deep learning, time series forecasting, and global alerting. A Carnegie Mellon PhD in statistical machine learning and author of 10+ peer-reviewed papers, he blends rigorous research with product-focused execution and a knack for automated labeling and high-dimensional forecasting. He also advises early-stage AI-first teams on technology and go-to-market strategy, bringing both operator experience from a unicorn exit and deep academic roots in probabilistic models and representation learning. Outside work he pursues practical measurement-driven improvement—summed up on his GitHub as “Measure. Learn. Improve.”
12 years of coding experience
9 years of employment as a software developer
Complex Systems, Complex Systems at Santa Fe Institute
Vienna University of Technology
Doctor of Philosophy (PhD) Statistics, Doctor of Philosophy (PhD) Statistics at Carnegie Mellon University
German, English, Spanish, Portuguese, French, English, German
LambertW R package: Lambert W x F distributions and Gaussianization for skewed & heavy-tailed data
Contributions:1 release, 26 commits, 8 PRs in 2 years 4 months
r-packagedistributionsstatisticslambertcran
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