Jan Schreck

Artificial Intelligence Researcher at Intel Corporation

San Francisco Bay Area United States
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Summary

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Senior
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Top School
Jan Schreck is an Artificial Intelligence Researcher based in the San Francisco Bay Area who develops AI-native wireless systems designed to run reliably in real time. With over 8 years of hands-on experience and a PhD (summa cum laude) in Electrical Engineering and Computer Science from Technische Universität Berlin, he blends deep academic rigor with industry impact at Intel since 2016. His work spans machine learning for atmospheric and wireless applications, evidenced by a concurrent profile as a Machine Learning Scientist at NCAR, signaling cross-domain expertise. Known for translating research prototypes into production-capable systems, he focuses on latency-sensitive, real-time reliability where model performance meets hardware and network constraints.
code8 years of coding experience
job1 year of employment as a software developer
bookDoctor of Philosophy (Ph.D.) Electrical Engineering and Computer Science, Doctor of Philosophy (Ph.D.) Electrical Engineering and Computer Science at Technische Universität Berlin
languagesGerman, English, French
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Github Skills (14)

prediction-model10
bayesian10
aiml9
machine-learning9
uncertainty-quantification9
ai-ml8
ai8
hyperparameter-optimization6
prediction6
machine-learning-models5
python3
synthesis3
scikit-learn3
deep-learning2

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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jsschreck/fake2vec

Jan 2019 - Mar 2019

Contributions:1 release, 26 commits, 4 PRs in 1 month
NCAR/aiml-utils

Sep 2020 - Apr 2021

This repository contains various pieces of code that is shared across different AIML projects, as well as notebooks for blogs
Contributions:3 reviews, 97 commits, 8 PRs in 7 months
ai-mlaiml
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