Alexander Eckert

Software Engineer, Data Engineer (AI Consulting)

Stuttgart Region Germany
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Summary

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Senior
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Top School
Alexander Eckert is a seasoned software and data engineer with 11 years of experience building analytics and machine learning solutions, currently consulting on AI projects at the Bosch Center for Artificial Intelligence. He brings a strong enterprise background from IBM Watson and Cloud Platform and earlier applied predictive maintenance and data-mining skills during roles at SAP and KIT. Comfortable moving models from research to production, he blends hands-on engineering with data infrastructure design and operational know-how. Based in the Stuttgart region, he pairs rigorous academic training (M.Sc., KIT) with practical consulting experience across industry and research labs. Colleagues describe him as pragmatically curious—interested in democracy and ethical tech—and he’s known for translating complex datasets into actionable insights.
code11 years of coding experience
job5 years of employment as a software developer
bookBachelor of Science (B.Sc.), Information Engineering and Management, Bachelor of Science (B.Sc.), Information Engineering and Management at Karlsruher Institut für Technologie (KIT)
languagesGerman, English
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Stackoverflow

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Github Skills (101)

r10
distance-matrix10
r-package10
jupyter10
jupyterlab10
cran10
rest9
api9
parallel9
python9
hyperparameter-optimization9
optimization9
pytorch9
large-language-models9
machine-learning9

Programming languages (8)

TypeScriptC++ShellRGoGo TemplateJupyter NotebookPython

Github contributions (5)

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alexeckert/parallelDist

Jun 2017 - Feb 2022

R Package: Parallel Distance Matrix Computation using Multiple Threads
Contributions:9 releases, 49 commits, 41 PRs in 4 years 9 months
distance-matrixr-packagedistance-computationscranmatrices
Contributions:2 PRs, 8 pushes, 2 branches in 4 months
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