Georg Goerg

Director Of Engineering, AI at EvolutionIQ

New York, New York, United States
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Summary

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Senior
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Top School
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.”
code12 years of coding experience
job9 years of employment as a software developer
bookComplex Systems, Complex Systems at Santa Fe Institute
bookVienna University of Technology
bookDoctor of Philosophy (PhD) Statistics, Doctor of Philosophy (PhD) Statistics at Carnegie Mellon University
languagesGerman, English, Spanish, Portuguese, French, English, German
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Stackoverflow

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Github Skills (116)

python10
anova10
normal-distribution10
bayesian-methods10
r-package10
gamlss10
top2vec10
mixture-model9
representation-learning9
statistics9
topic-modeling9
principal-component-analysis9
probabilistic-programming9
prediction-model9
kernel-smoothing9

Programming languages (3)

RJupyter NotebookPython

Github contributions (5)

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cran/ForeCA

Mar 2014 - Jun 2020

Contributions:6 commits in 6 years 5 months
gmgeorg/LambertW

Jun 2020 - Sep 2022

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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