Georg Goerg
Director Of Engineering, AI at Independent
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolGeorg 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 InstituteVienna University of TechnologyDoctor of Philosophy (PhD) Statistics, Doctor of Philosophy (PhD) Statistics at Carnegie Mellon University
German, English, Spanish, Portuguese, French, English, German
Stackoverflow
131reputation
2kreached
2answers
0questions
Github Skills (100)
normal-distribution10
multivariate-timeseries10
sentence-transformers10
r-package10
text-search10
ordinal-classification10
gamlss10
propensity-score-matching10
bert10
top2vec10
prediction-intervals10
mixture-model9
r9
representation-learning9
statistics9
Programming languages (3)
Github contributions (5)
gmgeorg/pylambertw
Oct 2023 - Aug 2025
pylambertw - sklearn interface to analyze and gaussianize heavy-tailed, skewed data
Contributions:4 releases, 5 reviews, 5 PRs in 1 year 10 months
sklearnfeature-engineeringgaussianizeheavy-tailed-distributionsheavy-tails
cran/ForeCA
Mar 2014 - Jun 2020
Contributions:6 commits in 6 years 5 months
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