Biography
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.
- 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
Recent Posts
Experience
- ML Engineering: Designed a scalable AI model backend service (DB, API) using an event-driven serverless architecture. Established a Kubernetes-based model deployment, reducing costs by 80%. Developed and extended open-source Python SDKs for interacting with the platform.
- Cloud Engineering: Led the migration of a heterogeneous legacy AWS stack to Kubernetes using Terraform (IaC), resulting in a 60% cost reduction, enhanced fault tolerance, and streamlined maintenance. Established compliance rules within the organization (SOC2).
- DevOps: Maintained and expanded CI/CD pipelines (Jenkins, ArgoCD) for backend and application deployments, and introduced coding standards to increase agility.
- AI Research: Investigated and implemented AI solutions to address customer challenges, utilizing state-of-the-art large language models (LLM) for text matching and information extraction applied to millions of records.
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
