Karl Jaehnig
AI ML Instructor at AI4ALL
United States
Summary
👤
Senior🎓
Top SchoolKarl Jaehnig is an AI/ML instructor and former astrophysics researcher with eight years of experience applying machine learning to large astronomical datasets and developing scalable data-processing frameworks. He holds a PhD from Vanderbilt University where his work spanned clustering algorithms, Bayesian inference, MCMC, and deep learning models that infer binary star parameters from multi-wavelength fluxes. Transitioning into data science industry roles, he combines strong statistical rigor with practical engineering—building pipelines that operate on terabytes of data and mentoring students on reproducible ML workflows. Karl also brings strengths in data visualization and communication, translating complex models for diverse audiences, and is currently expanding into NLP using Keras/TensorFlow. An often-overlooked asset is his hands-on experience validating algorithm cross-performance across surveys, giving him a rare perspective on model generalization in real-world, heterogeneous data.
8 years of coding experience
10 years of employment as a software developer
Master's degree, Physics, Master's degree, Physics at Fisk UniversityDoctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at Vanderbilt UniversityBachelor of Science (BS), Astronomy, Bachelor of Science (BS), Astronomy at University of Florida
Spanish
Github Skills (9)
simulations8
gravity8
astronomy7
astrophysics6
python6
version-control4
git-lfs3
github2
git2
Programming languages (4)
Github contributions (5)
kjaehnig/kjaehnig.github.io
Jan 2018 - Nov 2024
My website
Contributions:457 pushes, 1 branch in 6 years 11 months
kjaehnig/BNN-Digits-Recognizer-App
Apr 2024 - May 2024
Contributions:222 pushes, 1 branch in 13 days
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