Summary
Oliver Pfaffel is an NLP engineer at Munich Re with a PhD in Mathematical Statistics from TUM and over a decade of machine learning experience applied to insurance and risk. He designs and productionizes RAG pipelines and LLM-based document chat products while also leading predictive-model projects for credit risk, claims and biometric analyses. Comfortable across research and production, he blends PyTorch/Hugging Face/Deepspeed tooling with Azure deployments and reproducible analytics in Python, R and the tidyverse. His background in actuarial science and twelve publications (300+ citations) gives him a rare ability to translate advanced probabilistic methods into regulated, business-critical models. As a lecturer and product owner, he mentors teams and shapes requirements end-to-end, not just prototyping models. Based in Bavaria, he couples rigorous academic training with pragmatic product delivery at enterprise scale.
9 years of coding experience
Doctor of Philosophy (Ph.D.), Mathematical Statistics and Probability, Doctor of Philosophy (Ph.D.), Mathematical Statistics and Probability at Technical University of Munich