André likes to describe himself as a “full-time nerd”, because computer science is not just a job for him, but also a hobby and a passion. He loves constantly learning new things and solving challenges with the help of software.
His technical expertise includes DevOps and Machine Learning, with in-depth experience in Natural Language Processing (NLP) especially in Information Extraction and Retrieval. As an experienced trainer, André has given training courses on Docker and Kubernetes, among other things, which allows him to impart his knowledge in a practical and understandable way.
André is an IHK-certified mathematical-technical software developer and holds a master's degree in applied mathematics and computer science. He combines in-depth theoretical knowledge with robust software engineering to successfully transform innovative technologies into production-ready solutions.
His core competencies include:
DevOps and Continuous Integration/Continuous Deployment (CI/CD)
Kubernetes and containerization (Docker)
Infrastructure as code (IaC) with Terraform and Helm
Machine learning frameworks such as PyTorch, MLflow and Kubeflow
NLP technologies and frameworks, including HuggingFace, SpaCy and NLTK
Development of complex microservice architectures
In addition to his work in industrial projects, André has also gained extensive experience in academic teaching.
At Aachen University of Applied Sciences, he designed a Master's lecture on Natural Language Processing and supported students in making current research findings accessible in a practical way.