Computer Science Student @ TU Berlin & Working Student @ Siemens Mobility
Based in Berlin, Germany.
Developed within the 'Modern Distributed Systems' module in a 16-person team with clear role distribution. As part of the CV team, I experimented with CNN, UNet, and MedGAN architectures. I also attempted to fine-tune LLaVA for medical imaging using PyTorch and Scikit-learn, though the fine-tuning was unsuccessful.
Engineered a data extraction pipeline to automate the retrieval of executive metadata from corporate registries. Implemented parsing with RegEx and BeautifulSoup using Pandas and Requests to integrate heterogeneous data into a structured knowledge base.
Participated in a 5-person team during a Quantum Machine Learning Hackathon. Contributed to the collective research and experimental setup for an EEG classification pipeline. While focusing on the integration of (Kernel) SVM and CSP, I gained practical insights into the challenges of Quantum Feature Extraction and the complexity of preprocessing heterogeneous biological data.
Siemens Mobility
Extending Pandoc for automated documentation using Haskell and Stack within Docker environments. Developing Python scripts to parse Git commits and Merge Requests for critical test functions.
TU Berlin
Focusing on core CS fundamentals: algorithms, cognitive algorithms, complexity theory, and distributed systems. Additional focus on Scientific Methods and LaTeX-based documentation.
Interested in working together, have a question, or just want to connect? Reach out through any of the channels below.