Omschrijving

I help organizations deploy AI systems that are reliable, safe, and regulation-ready. My focus is LLM evaluation, red teaming, RAG architecture, and EU AI Act compliance — typically through embedded engagements within product and engineering teams.

Most recently, I owned the red teaming and guardrailing strategy for LLM-based assistants at a major European bank, designing the evaluation pipelines that drove go/no-go production decisions. Before that, I spent seven years at Fraunhofer IAIS leading applied NLP research and client-facing projects across finance, legal, and automotive — bridging academic research and enterprise delivery. Earlier in my career, I deployed fraud prevention systems at European banks as a technical consultant.

PhD in Computer Science (explainable AI), published at ACM SIGIR, and fluent in five European languages. Based in Brussels, available across the EU.

Talen

Spaans
Tweetalig / moedertaal
Engels
Vloeiend
Duits
Vloeiend
Frans
Vloeiend
Nederlands
Beperkte professionele capaciteit

Voorkeuren voor werkplek

Kan op locatie werken

Brussels (tot 50km)

BNP Paribas Fortis
Senior AI Data Scientist
BANKEN & VERZEKERINGEN
november 2023 - Vandaag (2 jaren en 7 maanden)
Brussels, Belgium
○ Owned the red-teaming, guardrails, and evaluation strategy for LLM-based assistants deployed across the bank.
○ Designed and implemented evaluation pipelines for RAG systems (retrievers, rankers, generators), supporting go/no-go production readiness decisions for enterprise deployments.
○ Contributed to the delivery of a client-facing chatbot integrated in the mobile banking app, as well as a RAG-based internal assistant grounded in bank documentation.
○ Served as a trusted advisor to product owners and business stakeholders, aligning AI capabilities with compliance and risk requirements.
○ Engagement spanned multiple product teams and senior stakeholders across engineering, security, architecture, and external partners.
LLM RAG Python Data science PostgreSQL
Fraunhofer IAIS
AI Research Scientist & Project Lead
ONDERZOEKSCENTRA
oktober 2016 - oktober 2023 (7 jaren)
Sankt Augustin, Duitsland
○ Conducted applied R&D in NLP and information retrieval; contributed to publications at ACM SIGIR and other peer-reviewed venues.
○ Led client-facing workshops for requirement gathering, technical alignment, and use-case scoping with industry
partners across finance, legal, automotive, and HR sectors.
○ Estimated project effort and resource requirements as part of presales activities, supporting proposal development and budgeting.
○ Translated state-of-the-art research into deployable ML solutions, including retrieval models and end-to-end document processing pipelines.
○ Supervised Master's students and collaborated with external researchers.
NLP Data science Machine learning Deep Learning Prototype
INFORM GmbH
Technical Consultant — Fraud Prevention
DIGITAAL BUREAU & IT-CONSULTANCY
januari 2013 - september 2015 (2 jaren en 8 maanden)
Aachen, Duitsland
○ Deployed the RiskShield expert system for real-time fraud prevention at European banks and card processors.
○ Led on-site client workshops across Europe (30–60% travel), acting as the interface between fraud experts and engineering teams.
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PhD
University of Bonn
2023
Computer Science - Thesis on "Explainable resource-aware representation learning via semantic similarity"
MSc
KU Leuven
2016
MSc Artificial Intelligence