Dominik Buse
Distributed Systems Performance Engineer at Snowflake
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolDominik Buse is a Distributed Systems Performance Engineer with 11 years of experience, currently optimizing large-scale systems at Snowflake from Berlin. He brings deep research roots—holding a PhD track record across Technische Universität Berlin and Paderborn University—focused on mobility, intelligent transportation systems, and distributed embedded systems. Dominik blends hands-on backend development and test automation (notably improving the widely-used Veins vehicular network simulator) with a constant drive to find performance gains and automation opportunities. His work spans simulation toolchains, e-mobility and service-oriented architectures, giving him a rare cross-domain perspective on real-world distributed system constraints. Colleagues rely on him to turn complex academic insights into production-grade performance improvements and robust testing infrastructure.
11 years of coding experience
10 years of employment as a software developer
Master’s Degree, Computer Science and Engineering - Ingenieurinformatik (Schwerpunkt Maschinenbau), Master’s Degree, Computer Science and Engineering - Ingenieurinformatik (Schwerpunkt Maschinenbau) at Paderborn UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Technische Universität Berlin
English, German, Spanish
Github Skills (9)
simulations10
simulation10
c-language10
cprogramming-language10
omnet10
testing10
simulation-framework9
catch29
automated-tests8
Programming languages (6)
Github contributions (5)
sommer/veins
Feb 2018 - Oct 2020
Veins - The open source vehicular network simulation framework.
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:2 reviews, 47 commits, 47 PRs in 2 years 9 months
Contributions summary:Dominik primarily focused on improving the Veins vehicular network simulation framework, addressing compiler warnings and debugging issues. Their work included cleaning up potential nullptr-dereference issues by replacing problematic traps with exceptions. They also contributed to testing infrastructure by implementing a test environment using RAII classes and stack objects, which enhanced the debugging capabilities. Furthermore, the user extracted coordinate and angle conversion into a helper class.
car2xveinssimulation-frameworksimulationsimulator
tkn-tub/veins-gym
Dec 2020 - Jun 2022
Reinforcement Learning-based VANET simulations
Contributions:28 commits, 1 PR, 13 pushes in 1 year 6 months
vehicular-networkscar2xveinsmultiagent-reinforcement-learningreinforcement-learning
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