About Me
Master’s student at Trier University of Applied Sciences. Currently working as Project Assistant – AI Rollout, developing exercises and lecture materials to teach machine learning and deep learning concepts. In this role I create Jupyter-based demonstrators for data exploration, visualization with Pandas and Plotly, and end-to-end PyTorch workflows, which are actively used in teaching.
For my master’s thesis, I developed a multimodal real-time application for measuring and analyzing laryngeal voice ranges. The system combines real-time audio signal processing with automatic acquisition of high-speed imaging data and additional sources, enabling for the first time an efficient collection of large-scale datasets for voice research.
Beyond academia, I have gained industry experience as a working student in software development, contributing to real client projects with a focus on implementation, testing, and system reliability. I am particularly motivated to deepen my practical expertise, explore emerging technologies, and apply them in innovative real-world solutions.
Education
M.Sc. Computer Science
Trier University of Applied Sciences
October 2021 - Today
Thesis: Development of a multimodal real-time application for measuring and analyzing laryngeal voice fields
Current Grade (114/120 ECTS): 1.4
B.Sc. Computer Science
Trier University of Applied Sciences
October 2018 - August 2021
Thesis: AI based human pose estimation via PoseNet
Work Experience
Project Assistant - AI Rollout
Trier University of Applied Sciences
December 2024 - Today
Python
PyTorch
Pandas
Plotly
- Created hands-on coding exercises and Jupyter notebooks demonstrating machine learning workflows with PyTorch
- Developed lecture materials covering data exploration, visualization, and model training concepts
- Customized external open-source tools (OpenCap) for local use, integrated additional pose estimation models via MMPose, and created explanatory materials to support student learning
Working Student - Research Assistant
Trier University of Applied Sciences
June 2024 - November 2024
TypeScript
React
Python
Flask
- Continued development of master’s thesis application for real-time voice field acquisition and analysis using Python, React, and TypeScript
- Designed and implemented interfaces for acquisition and processing of measurement data with external hardware (DAQ board)
Working Student - Software Engineer
itestra GmbH
April 2022 - September 2023
Java
Spring
TypeScript
- Supported the migration of a legacy COBOL system to Java for a global insurance company
- Developed a Java-based test framework for Camunda BPMN models leveraging a fluent API design pattern
- Extended an internal static code analysis tool to support TypeScript and resolved related technical issue
Working Student - Software Engineer
Trier University of Applied Sciences
March 2021 - May 2021
C#
Unity
- Realization of an interactive museum exhibit for knowledge transfer for the permanent exhibition Coral Reef of the Senckenberg Natural History Museum in Frankfurt.
Projects
LVRF
React
TypeScript
Python
Flask
This application introduces a novel method for voice range field analysis by combining real-time audio processing with automated high-speed laryngeal imaging. It enables efficient and comprehensive data collection, overcoming the otherwise time-consuming and uncomfortable process.
Personal Website
TailwindCSS
NextJS
React
TypeScript
Designed and developed a personal portfolio website, covering the process from UI/UX design to implementation. Built with Next.js and Tailwind CSS, the project emphasizes responsive design, performance, and a clean user experience.