Perceval Wajsbürt
NLP Engineer at AP-HP, Assistance Publique - Hôpitaux de Paris
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolPerceval 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 UniversitéMEng in Engineering, Informatique, Major de promotion SI 2018, MEng in Engineering, Informatique, Major de promotion SI 2018 at CentraleSupélecMaster 2 - AIC (Apprentissage, Information, Contenu), Machine learning, Master 2 - AIC (Apprentissage, Information, Contenu), Machine learning at Université Paris-Saclay
French, English, German
Stackoverflow
458reputation
23kreached
4answers
1question
Github Skills (155)
notebook10
python10
arabic-nlp10
cml10
entity-linking10
deep-learning10
fairness-ml10
cython10
medical10
industrial10
data-preprocessing10
neural10
ai10
neural-network10
rule-based10
Programming languages (5)
Github contributions (5)
aphp/eds-pseudo
Dec 2022 - Feb 2023
EDS-Pseudo is a hybrid model for detecting personally identifying entities in clinical reports
Contributions:2 releases, 1 review, 33 commits in 2 months
edsnlpnlppseudonymisation
percevalw/pygetsource
Jul 2023 - Mar 2025
A decompiler for Python 3
Contributions:10 releases, 11 PRs, 66 pushes in 1 year 8 months
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