Summary
Christoph Hiemenz is a Senior Data Scientist in Munich with six years of experience at the intersection of biotechnology and machine learning, building and operationalizing NLP and generative AI systems for enterprise use. He combines a deep wet-lab research background in molecular biotechnology with hands-on expertise in PyTorch/TensorFlow, AWS/Azure, MLOps, and graph-based approaches (neo4j, GNNs) to translate complex domain problems into production-ready ML products. At CBTW he designs retrieval-augmented generation pipelines, LLM fine-tuning workflows, and responsible-AI safeguards such as hallucination detection. His career started in bioinformatics and lab informatics, giving him an uncommon strength in mapping biological sequence modeling analogies to natural language tasks. Colleagues rely on him for pragmatic solution architecture, requirements-driven prioritization, and end-to-end deployments that bridge research and business value.
6 years of coding experience
Master of Science - MS Molecular Biotechnology, Master of Science - MS Molecular Biotechnology at Heidelberg University
Abitur, Abitur at Feudenheim Gymnasium Mannheim