Stefan Zimmermann
Senior Engineer Advanced Technology at coala Association e.V. (coala.io static analyzer)
Meiningen, Thuringia, Germany
Summary
🤩
Rockstar🎓
Top SchoolStefan Zimmermann is a senior engineer with 46 years of software experience, currently leading advanced technology efforts at ADVA Optical Networking from Meiningen, Germany. He blends deep back-end engineering and test automation expertise with front-end improvements, shipping pragmatic fixes across projects from Robot Framework to devpi and the coala static analyzer. Stefan has a track record of improving core architecture—refactoring aspect classes and language meta-classes in coala—and strengthening test infrastructure and cross-platform consistency in tools like twiggy. He contributes as a co-maintainer to notable open-source projects, demonstrating a focus on robust tooling, developer ergonomics, and reliable automation. With a Master’s in Computer Science and decades of hands-on coding, he pairs institutional knowledge with a preference for practical, well-tested solutions. An understated detail: despite the concise personal tagline “Just #Coding,” his commits reveal a knack for subtle structural improvements that reduce future maintenance burden.
46 years of coding experience
6 years of employment as a software developer
Master’s Degree, Computer Science, 1.8, Master’s Degree, Computer Science, 1.8 at Schmalkalden University of Applied Sciences
German, English
Github Skills (27)
javascript10
python10
testing10
css10
rust-wasm10
code-analysis10
wasmer10
lint10
robotframework10
wasmtime10
rust10
test-automation10
software-design9
java9
parsing9
Programming languages (15)
Github contributions (5)
coala/coala
Nov 2016 - Nov 2017
coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:30 commits, 40 PRs, 256 pushes in 1 year
Contributions summary:Stefan primarily contributed to the `coala` project by modifying the `bearlib` module, specifically focusing on aspect classes and language-related features. They refactored the code to use aspect classes more effectively, made aspect class instances depend on a language, and enhanced language meta-classes for auto-completion and versioning. These commits demonstrate a focus on improving the core structure and functionality of the code analysis engine.
fixinglinterlintpythonwindows
rustwasm/twiggy
Aug 2018 - Aug 2018
Twiggy🌱 is a code size profiler
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:6 commits, 6 PRs, 28 comments in 8 days
Contributions summary:Stefan focused on improving the testing infrastructure and test coverage of the `twiggy` project. They addressed issues in the test output formatting, ensuring consistency across different operating systems by comparing outputs line-wise. They also added new tests, including tests for new features such as the `--all` flag for the `garbage` and `monos` commands. Furthermore, the user removed outdated wasm features.
code-sizesize-optimizationtwiggywasm
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