Raphael Neuberger
COO & CFO at Cashlink
Ingolstadt, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolRaphael Neuberger is a finance and operations leader who blends 10 years of corporate finance, consulting and digital-asset experience with hands-on technical contribution to open-source ML tooling. As COO & CFO at Cashlink and former Bereichsleiter Digital Assets at V-BANK, he drives strategy, governance, growth and finance while building partner and success functions for regulated fintech products. He cut his teeth in management consulting and corporate finance at zeb, Roland Berger and Siemens, giving him deep expertise in turning complex regulatory and business requirements into operational programs. Unusually for a finance executive, he contributes code to Apache SystemDS—implementing lineage tracing, serialization and a debugger—bringing practical ML engineering insight to data-driven projects. Based in Ingolstadt with academic ties to Graz and China, he combines banking-grade process rigor with a pragmatic appetite for blockchain and ML innovation.
10 years of coding experience
8 years of employment as a software developer
Master of Arts (M.A.) Financial Management, Master of Arts (M.A.) Financial Management at University of Applied Sciences IngolstadtBeijing University & Fudan University
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
javas10
machine-learning10
spark10
dml10
java10
testing9
algorithms8
data-structures8
algorithm8
data-structure8
Programming languages (3)
Github contributions (5)
apache/systemds
Apr 2019 - Jun 2021
An open source ML system for the end-to-end data science lifecycle
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:11 commits, 1 PR in 2 years 2 months
Contributions summary:Raphael contributed significantly to the lineage tracing functionality within the SystemDS ML system. Their work involved implementing and extending lineage tracing for various operations, including the `rand` data generation instruction, multi-return instructions and for Spark instructions. They added support for lineage serialization/deserialization, as well as the lineage debugger. The user also implemented unit tests to verify the new functionality and ensure correct behavior, which includes adding test cases for equals() and hashCode() checking of the lineage items.
pythonend-to-enddmllifecycledata-science
trever-io/go-fireblocks
Sep 2022 - Nov 2022
Contributions:2 PRs, 2 pushes in 1 month
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