Experience

Paul Wurth Geprolux — Project Engineer
Since May 2026
Responsible for project design and engineering across construction-industry workflows, with an emphasis on data modelling and data analysis, and driving the practical integration of machine learning and AI applications into project workflows. Serves as the team's in-house mathematician, contributing quantitative and analytical expertise to project development.

Fraunhofer ITWM — Graduate Researcher
2020–2025
Doctoral research in computer algebra and computational mathematics, including the design and implementation of a Julia package providing an accessible interface to a task-based HPC workflow management system.

RPTU Kaiserslautern-Landau — Teaching Assistant
Algorithmic Group Theory, Cryptography — 2024–2025

Technische Universität Kaiserslautern — Teaching Assistant
Mathematics for Computer Scientists: Combinatorics, Stochastics and Statistics — 2019

Technical & Professional Skills

Programming & Software: Julia, Python, C/C++, SINGULAR, OSCAR

Scientific Computing: High-Performance Computing, distributed workflows, GPI-Space

Project & Workflow Management: Git/GitHub, draw.io, Microsoft Excel

Tools: Docker, LaTeX, Overleaf, Jupyter