A Machine Learning Engineer with experience in cloud and backend engineering, emphasizing machine learning operations. Knowledgeable in Python, Java, Julia, PostgreSQL, and SDK development, along with deployment tools such as Docker, Kubernetes, Terraform, and AWS services. Experienced in implementing AI solutions e.g. using large language models for text matching and information extraction. Capable of collaborating with interdisciplinary teams and contributing to international projects, with a history of publishing and presenting peer‐reviewed articles in the machine learning domain. Demonstrated tech leadership in driving innovation and improving processes.
Dr. rer. nat. Machine Learning, 2021
B.Sc & M.Sc. in Bioinformatics and Genome Research, 2014 & 2016
Project Goal: Android App for medical professionals handling and washing endoscopes in a clinical setting.
Developed in competitive setting with the endoscope manufacturer (Miele) as client. Focus on agile development with changing requirements.