Ferdinand Rewicki
Research Associate
Jena, Thuringia, Germany
Summary
👤
Senior🎓
Top SchoolFerdinand Rewicki is a research-focused software engineer with 11 years of industry experience who transitioned from fintech and e-commerce engineering into anomaly detection research at the German Aerospace Center (DLR). He holds a Master's in Computational and Data Science and combines strong production software skills—architecture, CI, release management—with applied research methods. Prior roles include senior engineering at WorldFirst and leading software development for skatedeluxe, where he built PHP-based e-commerce and warehouse systems and mentored engineering teams. At DLR he applies that practical engineering background to detection pipelines and data-driven research, bridging prototype models and production-ready systems. Based in Jena, he brings a rare mix of classroom pedagogy (teaching credentials in math and information science) and hands-on delivery, which helps him communicate complex technical ideas to diverse stakeholders. Expect a practitioner who moves fluid research results into maintainable software.
11 years of coding experience
10 years of employment as a software developer
Master, Computational and Data Science, Master, Computational and Data Science at Friedrich-Schiller-Universität Jena
English, German
Github Skills (15)
data-mining10
scikit-learn9
machine-learning9
time-series9
logstash8
docker-image8
data-science8
bundle7
elk7
php6
symfony5
symfony-bundle5
kibana5
elasticsearch5
docker5
Programming languages (4)
Github contributions (5)
ferewi/tf-laplace
Jul 2021 - Sep 2022
Contributions:7 commits, 18 pushes, 1 branch in 1 year 2 months
TobiGiese/NIR-WS1819
Mar 2019 - Apr 2019
Statistik-Projekt im Wintersemester 2018/19, FSU Jena, Statistische Verfahren, Moritz Preuß, Ferdinand Rewicki, Tobias Giesemann
Contributions:10 PRs, 24 pushes, 13 branches in 12 days
projektstatisticsfsumoritzjena
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