Stefan Schroedl

Senior Applied Scientist, AGI Foundations

San Francisco, California, United States
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Summary

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Senior
🎓
Top School
Stefan Schroedl is a Senior Applied Scientist with 17 years of experience applying machine learning and algorithm design to high-impact products across search, recommendation, computational drug discovery, and large language models. He blends deep research credentials—a PhD, co-authorship of an AI textbook, 30+ peer-reviewed papers and patents with 5k+ citations—with hands-on production engineering at Amazon, Atomwise, Yahoo, and Mercedes-Benz. Stefan has led teams that shipped large-scale ranking and NLU features for consumer products and helped establish ML best practices and platforms for startups and enterprises. His recent work focuses on interpretable AI, inference optimization for large language and video models, and core contributions to Amazon Nova. An independent thinker and prolific OSS author in R, C++ and Matlab, he frequently advises academia and industry, bringing a rare combination of theoretical rigor and pragmatic delivery.
code16 years of coding experience
job22 years of employment as a software developer
bookPh.D. Computer Science, Ph.D. Computer Science at The University of Freiburg
bookMaster Computer Science, Master Computer Science at RPTU Kaiserslautern-Landau
languagesEnglish, German, Spanish, French
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Stackoverflow

Stats
866reputation
509kreached
33answers
0questions
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Github Skills (58)

axes10
scatter-plot10
r-package10
density-plot10
overlays10
plot10
heat10
automatic10
boxplot10
heatmap10
scatter10
factor10
median10
violin-plot10
r9

Programming languages (2)

RPython

Github contributions (5)

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stefan-schroedl/tabulator

Jun 2009 - Apr 2015

Contributions:2 releases, 6 commits, 19 pushes in 5 years 10 months
stefan-schroedl/plotluck

Oct 2014 - Jun 2019

R tool for automated creation of ggplots. Examines one, two, or three variables and creates, based on their characteristics, a scatter, violin, box, bar, density, hex or spine plot, or a heat map. Also automates handling of observation weights, log-scaling of axes, reordering of factor levels, and overlays of smoothing curves and median lines.
Contributions:4 releases, 54 commits, 1 PR in 4 years 9 months
smoothingobservationautomatesheatcharacteristics
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Stefan Schroedl - Senior Applied Scientist, AGI Foundations