Martin Dornic
ML/AI Engineer · LLM, NLP & Production AI Systems · 15 Years Engineering Experience · Brussels
Salaire / Taux journalier
Bruxelles, Belgique
Freelance, ouvert au CDI
Expertises
Langues
À propos
Introduction
ML/AI Engineer with 15 years of engineering experience, I design and deploy production AI systems: RAG architectures, NLP pipelines, content classification, LLM integration. Daily stack: Python, PyTorch/TensorFlow, HuggingFace Transformers, FastAPI, PostgreSQL, Docker, CI/CD, MLflow, Azure/AWS. My background combines three phases: - five years of industrial consulting (aeronautics, energy) where I learned the rigor of zero-tolerance environments; - ten years of technical education and audio/DSP engineering at SAE Institute Brussels, coordinating international curricula in English and guiding entire cohorts through the adoption of production tools; - two years fully dedicated to applied AI, with several end-to-end projects deployed. Most recent work (Mar-Apr 2026): a film database application with an IA-powered classification system across 13 taxonomy dimensions, orchestrated around Anthropic's Claude API (~4,000 films automatically enriched). Stack: PostgreSQL, FastAPI, React. Live demo: https://film-database-pi.vercel.app/browse Open to contract and permanent opportunities in Brussels or remote. Feel free to reach out.
Expérience de travail
Data Scientist & AI Consultant
Marco Polo Institute
oct. 2024 - Présent
2 ans 1 mois
Bruxelles, Belgique
Designing and deploying production-ready AI/ML/NLP systems: real-time data pipelines, anomaly detection, NLP-powered tools. Full MLOps implementation (CI/CD, Docker, monitoring, automated testing). Working directly with operational teams to translate business needs into reliable, scalable technical solutions.
Audio & DSP Engineer, Technical Educator
SAE InstituteFreelance
oct. 2015 - mai 2023
7 ans 8 mois
Bruxelles, Belgique
Coordinated and delivered (in English) Digital Signal Processing curricula for international student cohorts: curriculum design, knowledge transfer, and supporting learners through audiovisual production workflows. In parallel, freelance audio engineering across the full production chain: on-set recording, post-production audio (editing, mixing, mastering) for film, corporate, podcast, audiobook. The mathematical foundations of signal processing (probability distributions, spectral analysis, feature extraction) directly underpin modern NLP/ML techniques.
Quality/Production Support Engineer in Aeronautics & Energy
Akka Technologies
juin 2010 - juil. 2015
5 ans 2 mois
Zaventem, Belgique
Served as engineering consultant delivering quality assurance and production support across aeronautics and energy sectors for major industrial clients, in zero-tolerance production environments Key Contributions: - Provided quality engineering support for complex aerospace and energy systems - Collaborated with cross-functional engineering teams and client stakeholders - Applied rigorous quality frameworks and documentation standards - Supported production workflows ensuring compliance with industry regulations - Managed stakeholder expectations across technical and non-technical audiences Industries: ASCO, SAFRAN (Snecma Services Brussels), ENGIE (Tihange Nuclear Power Plant) Skills Applied: Quality engineering, stakeholder communication, technical documentation, process compliance, cross-functional collaboration
Formation
Polytech Montpellier
European Qualification Framework (EQF) Level 7, Materials Science and Engineering
2002 - 2005
3 ans 1 mois
Résultat : Postgraduate Degree in Materials Engineering
Licences et certifications
Microsoft Certified: Azure Fundamentals
Délivré le : janv. 2026
MLOps Zoomcamp
Délivré le : août 2025
Machine Learning Zoomcamp
Délivré le : févr. 2025
LLM Zoomcamp
Délivré le : oct. 2024
Business Intelligence & Data Visualization
Délivré le : mars 2024