Thomas Dehaene is a Data Architect and AI specialist based in Ichtegem, Belgium, with nine years of experience building ML-driven data platforms and productionizing NLP/LLM solutions. Currently leading data architecture and AI initiatives at House of HR, he blends hands-on engineering with strategic design to deliver agentic LLM systems and scalable data pipelines. Previously he led the NLP chapter at ML6 and held senior ML engineering roles, giving him deep expertise in model deployment, MLOps, and applied research. Trained in industrial and electrical engineering with top honors, he combines rigorous academic foundations with pragmatic consulting experience from KPMG. Thomas is equally comfortable steering high-level architecture and rolling up his sleeves to implement model-centric solutions, often emphasizing interpretable, production-ready systems. An interesting detail: his career path reflects a steady shift from consulting and engineering into AI leadership, signaling a strong aptitude for translating business needs into responsible LLM applications.
9 years of coding experience
12 years of employment as a software developer
Master of Science, Industrial Engineering and Operations Research, Magna Cum Laude, Master of Science, Industrial Engineering and Operations Research, Magna Cum Laude at Universiteit Gent
Bachelor's degree, Electrical engineering, Summa cum laude, Bachelor's degree, Electrical engineering, Summa cum laude at Hogeschool West-Vlaanderen PIH
Contributions:11 commits, 9 pushes, 1 branch in 6 months
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