G Jergensen
Software Engineer at freiheit.com technologies
Hamburg, Germany
Summary
👤
Senior🎓
Top SchoolGavin Elijah Jergensen is a software engineer based in Hamburg with nine years of experience blending rigorous mathematical training and practical machine learning research into production software. He holds a BS in Mathematics and Physics from the University of Oklahoma and an MS in Mathematics from TU Dresden, with academic work spanning theoretical computer science, logic, and model theory. His early research applied ML to scientific problems—from storm classification and Higgs candidate selection to physics-informed neural networks at Berkeley Lab—bringing a strong empirical grounding to his functional-programming-focused development practice. Since 2021 he has been building software at freiheit.com technologies, applying his cross-disciplinary background to real-world engineering challenges. Comfortable moving between theory and implementation, he often leverages formal reasoning and functional paradigms to design robust, maintainable systems. An uncommon thread in his profile is the consistent intersection of domain science and software—turning complex physical models into practical, testable code.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Mathematics, 1,55, Master of Science - MS, Mathematics, 1,55 at Technische Universität DresdenHigh School, International Baccalaureate, 3.96, High School, International Baccalaureate, 3.96 at Classen School of Advanced StudiesBachelor’s Degree, Mathematics and Physics, 3.99, Bachelor’s Degree, Mathematics and Physics, 3.99 at University of Oklahoma
English, German
Stackoverflow
23reputation
60reached
0answers
1question
Github Skills (9)
permutation9
python6
haskell6
prediction-model5
deep-learning3
machine-learning3
pytorch3
kernel3
statsmodels2
Programming languages (3)
Github contributions (5)
gelijergensen/Constrained-Neural-Nets-Workbook
Jun 2019 - Sep 2019
A workbook for investigating constrained neural networks in PyTorch
Contributions:89 commits, 6 PRs, 4 pushes in 3 months
pytorchdeep-learningworkbookneural-networksmachine-learning
gelijergensen/PermutationImportance
Sep 2018 - Oct 2020
Python package for computing the importance of variables in a model through permutation selection
Contributions:45 commits, 62 PRs, 68 pushes in 2 years 1 month
pythonimportanceselectioncomputingpython-package
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