Biography
Machine learning engineer and applied scientist currently working on bringing AI models to production. Loves the challenge of building scalable and efficient distributed systems and applying novel AI algorithms on unstructured data. Previously finished studies of bioinformatics and doctoral research on machine learning.
- Machine learning
- Software engineering
- ML Ops
- Cloud applications
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Dr. rer. nat. Machine Learning, 2021
Bielefeld University
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B.Sc & M.Sc. in Bioinformatics and Genome Research, 2014 & 2016
Bielefeld University
Experience
Responsibilities:
- Design and development of scalable and efficent AI model hosting infrastructure for the super.AI platform.
- Research and execution of novel machine learning algorithms for customer use cases.
- Support and improvement of ML Ops pipelines.
Responsibilities include:
- Research ( Modelling & Analysis )
- Development and Deployment
- Scientific writing and presentation
Responsibilities include:
- Research ( Feature Representation, Non-linear Models)
- Scientific writing and presentation
Responsibilities include:
- Research & Development
- Scientific writing and presentation
- Teaching
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.
Responsibilities include:
- Software architecture
- Task delegation
- DevOps
- Development
