Fabian Herzog
Senior Applied Scientist at Zillow
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolFabian Herzog is a Senior Applied Scientist based in Munich with 11 years of experience at the intersection of pattern recognition, computer vision and deep learning. He progressed from Python developer and data scientist roles to research assistant and PhD candidate at TU Munich, where he combined academic research with teaching in signal processing and human–machine communication. Fabian has transitioned his research into industry impact, most recently helping scale Virtual Staging AI before joining Zillow to apply vision models to real-world products. He blends rigorous experimental methodology with production-oriented ML engineering, making him comfortable from prototype research to deployment. An often-overlooked strength is his sustained experience teaching complex topics, which sharpens his ability to communicate technical ideas across research and product teams.
10 years of coding experience
10 years of employment as a software developer
Master of Science (M.Sc.), Applied Computer Science, Master of Science (M.Sc.), Applied Computer Science at The University of Göttingen
English, German
Github Skills (84)
levenshtein-distance10
topological-data-analysis10
representations10
kd-tree10
multi-camera10
duplicate-detection10
abaqus10
sparse10
decomposition10
matching10
gesture-recognition10
dictionary10
multi-target10
svd10
sift10
Programming languages (2)
Github contributions (5)
fubel/sparselandtools
Nov 2018 - Dec 2022
:sparkles: A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.
Contributions:3 releases, 40 commits, 16 PRs in 4 years
pythonsiftsparsekd-treenumba
fubel/PeronaMalikDiffusion
Jun 2016 - Dec 2019
Contributions:3 commits, 2 pushes, 1 branch in 3 years 6 months
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