Freelancer profile translated to English.
Back to original languageAbout Ilker
An engineer by training (ULB, INSTN Paris, UC Berkeley), I design and deploy artificial intelligence systems in environments where errors are not an option.
My preferred domain: RAG pipelines, AI agents, and GenAI integration strategies in high-stakes contexts.
I work alongside organizations that want to move from experimentation to operational, governed, and measurably valuable AI.
What I bring concretely:
Design of multilingual RAG pipelines and agentic architectures adapted to your data and business constraints
AI strategy and governance (EU AI Act, NIST AI RMF, ISO 42001) for regulated organizations
AI maturity audits and prioritized roadmaps, from diagnosis to implementation
Training and skills transfer for your teams
Recognized among Belgium's 40 Under 40, I also speak and train on the challenges of applied AI.
Based in Brussels · Assignments in French, Dutch, and English · Remote & on-site
French
Native or bilingual
English
Native or bilingual
Dutch
Fluent
Spanish
Basic
Can work on-site
Bruxelles (up to 50km)
Experience
- ONDRAF-NIRASDeployed AI EngineerJanuary 2023 - Today (3 years and 5 months)Brussels, BelgiumKnowledge Management Office (KMO) transition — structuring institutional memory via agentic AI RAG pipelines on nuclear technical dossiers (decommissioning, safety cases, etc.) AI governance frameworks & adoption standards
- ONDRAF-NIRASTechnical coordinator (innovation)January 2021 - Today (5 years and 5 months)Brussels, BelgiumAs the (Innovation) I spearheaded pioneering initiatives at the intersection of nuclear waste management and cutting-edge technologies such as machine learning (ML) and artificial intelligence (AI). My role encompassed driving innovation to enhance the efficiency, safety, and sustainability of radioactive waste management practices.
- Tekno-FamilyASBLFounder & Program ManagerSeptember 2023 - Today (2 years and 9 months)Brussels, BelgiumAs the Founder & Program Manager at Tekno-Family, I embarked on a mission to revolutionize family engagement and education through the strategic application of machine learning (ML) and artificial intelligence (AI). Tekno-Family is a forward-thinking initiative dedicated to leveraging technology for the propulsion of university students in the work environment.
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Education
- RAG Low-Cost TrainerSustAIn.brussels / EDIH, BeCentral2026RAG Low-Cost Trainer
- Nuclear Engineering - CSUniversity of California at Berkeley2017Nuclear Engineering - CS