Beschreibung

I am a physicist and software QA engineer with several years of experience in complex automotive systems, currently focusing on scientific data visualization and quantitative analysis.

My background includes work on large-scale embedded test environments, including ECU test benches with over 100 interconnected control units, as well as the development of Python-based test automation integrated into CI/CD pipelines. This experience has shaped a highly structured, analytical approach to problem solving and data handling.

In parallel, I specialize in transforming complex datasets into clear, precise, and publication-quality visualizations. My work combines mathematical rigor with clean visual design, with a particular focus on avoiding misleading representations.

Core expertise:

Scientific data visualization (Matplotlib, NumPy, Pandas)
Geospatial analysis and cartographic projections (GeoPandas, rasterio)
Density and spatial data modeling
Data processing, transformation, and exploratory analysis
Reproducible workflows and well-structured code

A particular emphasis of my work lies in understanding and communicating distortions in spatial data — for example when comparing projections such as Mercator, Robinson, or orthographic views.

Typical projects:

publication-ready figures for scientific or technical contexts
geospatial data visualization and mapping
quantitative analysis of spatial distributions
custom data analysis pipelines

I combine a strong technical foundation with a focus on clarity, correctness, and efficient implementation.

Branchenexpertise

Sprachen

Deutsch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher
Französisch
Grundkenntnisse

Arbeitsortpräferenzen

Nur remote

Führt Projekte hauptsächlich remote aus

Umlaut Systems GmbH/Accenture Se
Software tester
AUTOMOBILSEKTOR
Juni 2022 - Heute (4 Jahre)
Ingolstadt, Deutschland
Software QA Engineer in automotive OTA projects.

Working on large-scale test environments, including near-complete ECU test racks (110+ ECUs), covering the majority of in-vehicle communication and update scenarios.

Extensive testing on vehicle buses and networks such as CAN, LIN, FlexRay and Automotive Ethernet, as well as restbus simulations using Vector CANoe.

In recent months, I have focused on extending and adapting a Python-based test automation framework integrated into CI/CD pipelines, enabling automated regression testing on test benches and HIL-like environments for one of the largest German automotive manufacturers.

Test scope:
Test design and test concept development
Test documentation and pre-analysis
Manual testing (sprint tests, bug fixes, integration & regression testing)
CI/CD-supported test automation (Python-based regression tests)
Automotive Software Testing CI/CD Test Automation Python Test Automation Test Design & Test Strategy ECU Testing (HIL / Test Bench)
Forschungszentrum Dresden (HZDR)
Scientific coworker
November 2019 - Oktober 2021 (1 Jahr und 11 Monate)
Development of new DFT-functionals with respect to exact atomic
densities
Isotope separation by exploiting zero point energy differences (chemi
cal affinity quantum sieving) and using nano-pores (kinetic quantum sieving)
TU Dresden
Scientific coworker
April 2018 - Oktober 2019 (1 Jahr und 6 Monate)
Development of new DFT-functionals with respect to exact atomic
densities
Isotope separation by exploiting zero point energy differences (chemi
cal affinity quantum sieving) and using nano-pores (kinetic quantum sieving)