Alexander Renz-wieland

Senior Database System Engineer

Freiburg im Breisgau, Baden-Württemberg, Germany
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Summary

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Senior
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Top School
Alexander Renz-wieland is a Senior Database System Engineer with 11 years of experience building distributed data and machine learning systems to simplify engineers' lives, currently at RelationalAI. He holds a summa cum laude PhD from TU Berlin where his research produced practical insights into dynamic, non-uniform parameter management and locality-aware distributed training systems (SIGMOD, PVLDB), and he implemented high-performance C++ research systems. Alexander blends deep systems research with production engineering—shipping distributed ML infrastructure and database features—and has led and taught teams in academia. He brings a rare combination of rigorous academic results and hands-on implementation experience across C++, ZeroMQ, Protocol Buffers, Spark/Hadoop, and production databases. Notably, his work demonstrates that runtime parameter relocation and automatic distributed training can substantially improve real-world ML efficiency, a theme he continues to apply at RelationalAI.
code11 years of coding experience
job13 years of employment as a software developer
bookBachelor of Science (B.Sc.), International Management for Business and IT, 1.3, Bachelor of Science (B.Sc.), International Management for Business and IT, 1.3 at Baden-Wuerttemberg Cooperative State University (DHBW)
bookArtificial Intelligence, Artificial Intelligence at VU University Amsterdam
bookMaster of Science (M.Sc.), Business Informatics, Data and Web Science, 1.0, Master of Science (M.Sc.), Business Informatics, Data and Web Science, 1.0 at Universität Mannheim
bookCharles III University of Madrid (Universidad Carlos III de Madrid)
bookDoctor of Philosophy - PhD, Large-Scale Machine Learning, summa cum laude, Doctor of Philosophy - PhD, Large-Scale Machine Learning, summa cum laude at Technische Universität Berlin
languagesEnglish, German, Spanish, French, Dutch
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Github Skills (43)

distributed-training9
python9
pattern-mining9
vscode-extension9
machine-learning9
gpu9
deep-learning9
julia9
vscode9
monorepo9
dnssec8
numpy8
neural-network8
tensor7
fzf7

Programming languages (11)

TypeScriptJuliaJavaC++CRustJavaScriptSwift

Github contributions (5)

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alexrenz/AdaPM

Jan 2020 - Jun 2022

A fully adaptive, zero-tuning parameter manager that enables efficient distributed machine learning training
Contributions:3 releases, 32 commits, 3 PRs in 2 years 4 months
machine-learningdistributed-mlparameter-serverlarge-scale-machine-learningdistributed-training
alexrenz/lapse2

Apr 2021 - Dec 2021

Contributions:2 commits, 1 push in 8 months
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