Sigrid Keydana
Software Developer at Hal9
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolSigrid Keydana is a versatile full-stack software developer based in Munich with 11 years of experience building web and data-driven systems across JavaScript/TypeScript (NestJS, Node.js, Angular, Vue) and Java (Spring Core/Boot) ecosystems. Spring Certified Professional 2024, she pairs backend expertise with front-end fluency and comfort in Python-centric machine learning and deep learning environments. Her career spans roles from Oracle DBA and data scientist to TensorFlow developer advocate and applied researcher, giving her rare cross-disciplinary fluency in systems, databases, and ML workflows. She has repeatedly moved between product engineering and research contexts—shipping production services at Hal9 and contributing to data science tooling at Posit/RStudio. Grounded in a Diplom in Psychology, she brings human-centered thinking to technical design and data interpretation. Known for combining pragmatic engineering with research sensibilities, she often bridges the gap between prototypes and robust, deployable systems.
11 years of coding experience
16 years of employment as a software developer
Diplom, Psychologie, Diplom, Psychologie at Justus Liebig University Giessen
Github Skills (196)
probabilistic-programming10
interoperability10
python10
cffi10
deep-learning10
bayesian-methods10
r10
statistics10
ml10
latex10
neural-network10
r-package10
data-science10
tensorflow-probability10
probabilistic-reasoning10
Programming languages (11)
Github contributions (5)
rstudio/tfprobability
Mar 2019 - May 2021
R interface to TensorFlow Probability
Contributions:3 releases, 158 PRs, 308 pushes in 2 years 2 months
probabilitytensorflow-probabilitymachine-learningtensorflow
skeydan/dl-scientific
Aug 2022 - Jan 2023
Contributions:15 commits, 20 pushes, 1 branch in 5 months
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