Rohde & Schwarz

Responsible for the maintenance and continuous improvement of automated testing systems for mobile applications and internal GUIs. Ensuring compatibility with newly released mobile features to maintain stable and reliable test environments. Collaborating in a small team to improve internal software and user interfaces. Leveraging Git, GitLab, and CI/CD pipelines to streamline development workflows, automate testing, and accelerate deployment.

iFak - Magdeburg

Developed InductivePosNet, a deep learning regression framework for predicting spatial coordinates from inductive sensor data. Implemented end-to-end machine learning pipelines, including CSV data processing, augmentation, model training, and evaluation. Designed and evaluated MLP and ResNet architectures for multi-sensor (x,y) regression, with custom metrics measuring accuracy in real-world units (mm). Integrated Weights & Biases for experiment tracking and optimized training on SLURM-based GPU clusters (e.g. NVIDIA DGX).

StartUp Inc

Designed and implemented a backend server for managing digital certificates on electric vehicle supply equipment (EVSE). Developed functionality to handle certificate storage, updates, and secure responses to installation requests for electric vehicle (EV) contract certificates. Worked within an embedded systems and IoT-focused environment, contributing to software solutions for Vehicle-to-Grid (V2G) communication and secure EV charging infrastructure.