School
Since 2021
PhD Student, ZSW Ulm,
Data science and machine learning applications for fuel cells
2018 – 2020
Master of Science Aerospace Engineering, University of Stuttgart, ∅ 1.2
Specialisation in Informationtechnology & space technology
2014 – 2018
Bachelor of Science Aerospace Engineering, University of Stuttgart, ∅ 1.6
2006 – 2014
Abitur, Max-Planck-Gymnasium Nürtingen, ∅ 1.7
Experiences
Today
January 2021
Data science and machine learning applications for fuel cells
- Investigation of machine learning methods for monitoring the operation of fuel cells on test benches
- Development of an automated performance monitoring framework for all in house fuel cell test benches
- Data Management: development of an ETL pipeline and visualization
- Operating fuel cells on test benches for customers
Data Science
Machine Learning
Fuel Cells
Performance Monitoring
Python
Grafana
RabbitMQ
SQL
November 2020
March 2020
Development of a modular exposure time calculator for balloon-based telescopes
- Modeling the physical radiation transportation mechanism including diffraction and jitter
- Development of a generic imaging detector and a heterodyne spectrometer
- Design and implementation of an object oriented software architecture as well as unit tests
- Definition and execution of verification tests
- Analysis of the performance of some telescope concepts
Python
PyCharm
unittest
Sphinx
git
LaTeX
October 2020
April 2017
Development of a software for managing and analyzing fuel cell testing data featuring the following key parts
- Consolidating and adding new datasets to a database automatically
- Background detection, evaluation and indexing of pattern in the data
- Development of an advanced web platform allowing to query, explore and analyze the testing data
- Provision of tools for data analysis(regression, feature extraction, characterisitc curves)
- Creation of reports and testing protocols
Data Science
Linux
R
shiny
SQL
DHTML
nginx
PHP
git
CI/CD
Microsoft Azure
June 2018
November 2017
Development of an interactive annunciator panel for the SOFIA-telescope
- Reverse-Engineering of the hardware architecture and the software layout
- Definition of a project plan and system requirements
- Development, implementation and documentation of the new software load
- Definition and execution of testing procedures to verify the airworthiness of the new software load
- Installation of the new software load on the aircraft
C
Eclipse
V-Process
Hardware-in-the-Loop
LaTeX
svn
April 2017
October 2016
Support of students on an aircraft turbine design task
CAD
Siemens NX
Teaching
October 2017
October 2014
Working in production and in the office
Production Engineering
Metal Processing
IT-Competences
Programming Languages
R, Python, Matlab, C, Java, JavaScript, HTML, CSS, PHP, SQL (MySQL)
Frameworks
docker, Microsoft Azure, Tensorflow
Development Environments
PyCharm, R-Studio, Eclipse, git
Office
Microsoft Office, LaTeX
Operating Systems
MacOS, Linux (CentOS, Ubuntu, Debian), Windows
Languages
German
Mother tongue
English
Bachelor thesis at DSI / NASA in California, Master thesis, Certificate for business english
French
High School
Hobbies
Sports
Kitesurfing, Swimming, climbing, cycling, skiing
Interests
Smart Home, Server Infrastructure / Self Hosting, Electronics, Astronomy, RC Aircraft