R&D Engineer

Passionate all-round engineer with a strong background in data science, electrical engineering and digital signal processing.

• C++
• Elektronik
• Embedded Entwicklung / hardwarenahe Entwicklung
• Forschung & Entwicklung (allg.)
• Java (allg.)
• Maschinelles Lernen
• Medizinische Messtechnik
• Python
• Signalverarbeitung
• TensorFlow

I consider myself a passionate all-round engineer with a strong background in data science. During my PhD I gained a lot of experience in both, hardware development from scratch to acquire custom raw data on the one hand and fullstack signal processing steps covering preconditioning, de-noising, delineation up to more sophisticated advances in the time, frequency and statistical domain. My main field of activity concerns itself with solutions for clinical applications by utilizing modern machine learning procedures
ranging from state of the art supervised classification tasks to unsupervised online learning methods. I have a strong interest in recent advances of data science and signal processing.

I am still connected with the scientific community, giving lectures at University, occasionally reviewing latest submissions to respected journals, chairing conference tracks or organizing student excursions.

I enjoy the challenge of tackling unsolved problems and exploring new
tools being not reluctant to enter unfamiliar environments. I am a
thorough teamplayer, thinking in interfaces.

Python
C
C++
Java
Matlab
Elektronik
TensorFlow
SQL
Django
AWS
Deep Learning
Machine Learning
Microcontroller
RaspberryPi