Stefan Kroboth
Research Scientist at Zeiss SMT
Aalen, Baden-Württemberg, Germany
Summary
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RockstarStefan Kroboth is a research scientist and software engineer with 14 years of experience, based in Aalen, Germany, who specializes in numerical optimization and scientific software. He is the creator and active maintainer of argmin, a pure-Rust optimization library, where he implements advanced algorithms such as More-Thuente and backtracking line searches, steepest descent, Gauss–Newton, and trust-region variants. Stefan blends research-level understanding with pragmatic back-end development, delivering robust, generic implementations in Rust that are suitable for both experimentation and production use. His work reveals a penchant for mathematically rigorous solutions delivered through modern systems programming, making him a valuable bridge between algorithmic theory and practical tooling.
14 years of coding experience
Github Skills (2)
numerical-optimization10
rust10
Programming languages (7)
Github contributions (5)
argmin-rs/argmin
Dec 2017 - Jan 2023
Numerical optimization in pure Rust
Role in this project:
Back-end Developer
Back-end DeveloperContributions:32 releases, 135 reviews, 1145 commits in 5 years 1 month
Contributions summary:Stefan appears to be working on numerical optimization algorithms in Rust, focusing on the implementation of line search methods. Their contributions include implementing the `ArgminLineSearch` trait for the `MoreThuenteLineSearch` and `BacktrackingLineSearch` structs. They also contributed to a new `SteepestDescent` struct that integrates generic `LineSearch` methods. They were working on a Gauss-Newton method. They were making changes in the file which contained the implementation of SR1TrustRegion.
mathematical-optimizationoptimization-methodsoptimization-algorithmsrustoptimization
stefan-k/mri-rs
May 2018 - Apr 2021
MRI
Contributions:1 PR, 32 pushes, 1 branch in 3 years
deep-learningpythoncomputer-visionmri
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