About
Me
- Name: Fabian Grosch
- Age: 31
- Location: Fürth, Bavaria, Germany
Experience.
- Software Development
- Signal Processing
- Machine Learning
Skills.
- Development:
Python, PyTest, PySide, Tkinter, FastAPI, Streamlit,Java,Spring, Android, Apache Commons,TypeScript, HTML, CSS,Angular, VueJS, Vuetify, Vue Router, Pinia, OpenAPI, D3, C++, OpenCV, Qt, Git - Scientific Computing: Python, NumPy, SciPy, Pandas, Matplotlib, Seaborn, Jupyter, OpenCV, Matlab
- AI/ML:
LLM, LangChain,RAG, TensorFlow, Keras, Scikit-learn, ONNX Runtime, XGBoost, PyOD - Databases:
MongoDB, PostgreSQL, VectorDB - Misc: Docker, AWS, Azure, GitLab CI/CD, Kafka, S3, Testcontainers
- Good Practices:
Clean Code,TDD - Domain Knowledge:
Biosignals(e.g., electrocardiography, electroencephalography, electromyography, pulse plethysmography, electrodermal activity),Signal Processing - Learning:
Go
CV.
- 2024 - present: Software Engineer at DATEV eG
- 2023 - 2024: Senior Scientist at Fraunhofer IIS
- 2020 - 2024: Research Associate at Fraunhofer IIS
- 2017 - 2020: M.Sc. in Computer Science at Hochschule Trier
- 2019: Research Assistant in the field of Deep Learning at Hochschule Trier
- 2014 - 2017: B.Sc. in Computer Science at Hochschule Trier
Publications.
Evaluation of a machine learning score based on electrocardiographic activities to predict pain during a virtual reality hypnosis session in healthy volunteers (European Journal of Anaesthesiology - Vol 42 · Jun 1, 2025)