Summary
Perceval Wajsbürt is an NLP engineer with a PhD in medical natural language processing from Sorbonne Université and over 10 years of experience building ML-driven solutions for clinical and industrial settings. At AP-HP he applies deep learning and structured prediction to extract and normalize entities from clinical documents, bridging research-grade methods with production needs. Trained at CentraleSupélec and Université Paris-Saclay in machine learning and software engineering, he combines strong engineering practice with a research focus on low-data, multilingual and structured-entity problems. His background includes deploying interpretability algorithms and full-stack projects—from VR streaming platforms to clinical coding tools—reflecting a rare mix of ML theory, UI development and system integration. Active on GitHub, he maintains projects that surface his interest in structured prediction models, knowledge representation and reproducible ML tooling.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Natural Language Processing in medical documents, Doctor of Philosophy - PhD, Natural Language Processing in medical documents at Sorbonne Université
MEng in Engineering, Informatique, Major de promotion SI 2018, MEng in Engineering, Informatique, Major de promotion SI 2018 at CentraleSupélec
Master 2 - AIC (Apprentissage, Information, Contenu), Machine learning, Master 2 - AIC (Apprentissage, Information, Contenu), Machine learning at Université Paris-Saclay
French, English, German