Carsten Bauer
Manager - Digitalisation, Software & AI
Cologne, North Rhine-Westphalia, Germany
Summary
🤩
Rockstar🎓
Top SchoolCarsten Bauer is a technology leader with 11 years of experience who currently manages digitalisation, software and AI initiatives at the German Aerospace Center (DLR) while running a consulting and training practice. He combines a PhD in quantum physics with hands-on software engineering—contributing backend and QA improvements to the core Julia language—bringing rigorous HPC and numerical computing expertise to applied AI projects. His background spans academic research, HPC training leadership, and interdisciplinary visiting scholarships at top institutions, enabling him to translate cutting‑edge methods into operational systems. Known for teaching and mentoring, he frequently delivers training and consultancy that bridge theory and production engineering. An uncommon mix of deep scientific training and practical open‑source contributions makes him adept at solving numerically intensive problems at scale.
10 years of coding experience
5 years of employment as a software developer
PhD / Dr. rer. nat, PhD / Dr. rer. nat at University of CologneTechnischen Universität DarmstadtMaster of Science, Master of Science at Johann Wolfgang Goethe-Universität Frankfurt am MainAbitur, Abitur at Brühlwiesenschule, Hofheim am Taunus
German, English, French
Stackoverflow
10,017reputation
279kreached
183answers
5questions
julia
top-1%
plotly
top-5%
matrix
top-5%
Github Skills (20)
testing10
linear-algebra10
julia10
strings9
matrix9
forloop9
text-manipulation9
scopes9
plotly9
scientific-computing8
numerical-methods8
programming-language7
vector6
assert6
hpc6
Programming languages (22)
Github contributions (5)
JuliaLang/julia
Nov 2017 - Jan 2023
The Julia Programming Language
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:32 reviews, 18 commits, 22 PRs in 5 years 2 months
Contributions summary:Carsten primarily contributed to improving the Julia programming language, focusing on core functionalities and testing. They implemented specialized methods for mathematical operations like `inv(SVD)` and refactored existing code for efficiency. Additionally, the user added tests to verify functionality, including edge cases and complex number handling, ensuring the robustness of the library. They also improved documentation and added features for handling strings within the base library.
sciencejulia-languagemachine-learningjulialangpetsc
carstenbauer/MonteCarlo.jl
Dec 2017 - Aug 2021
Classical and quantum Monte Carlo simulations in Julia
Contributions:200 commits, 26 PRs, 346 pushes in 3 years 8 months
physicsquantum-monte-carloquantum-computingsimulationsnumerical-physics
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