04.2026 - Present
Bachelor Thesis: State-Based Process Monitoring at RWTH Aachen University.
Supervised by Alessandro Berti and Wil van der Aalst at the PADS group. Builds a
state-based pipeline for detecting concept drift in classical case-based event logs.
Python: pm4py, scikit-learn, minisom, Streamlit/Dash, Plotly. WIP.
04.2025 - 07.2025
Reversi AI Developer — Project Internship at RWTH Aachen University.
Project internship at the Software Modeling and Verification Group (MOVES), Chair i2.
Developed an AI for a complex extension of Reversi using Java and techniques such as
Minimax, alpha-beta pruning, move sorting, aspiration windows, and game state rating heuristics.
10.2024 - 03.2025
Embedded Developer — Lab Course at RWTH Aachen University.
Lab course at the Chair of Embedded Software (i11). Developed the SPOS operating system
in C for the ATmega 644 microcontroller, implementing hardware drivers, memory management,
schedulers, and I/O components.
10.2023 - 03.2024
Computer Science Mentor at RWTH Aachen University.
Worked as a (HiWi) computer science mentor, providing guidance and support to fellow students in their
computer science studies. Helped students organize their studies and understand complex concepts
through weekly mentoring sessions and group study activities.
2022 - Present
Bachelor's Degree in Computer Science at RWTH Aachen University.
Strong interest in process mining, data science, machine learning, and deep learning. My focus lies in understanding modern architectures such as transformers
and attention mechanisms, as well as classical methods and graph-based machine learning, and their
connections and applications in process mining and data science.
