Raphael De Giusti is an AI Solution Architect and seasoned software engineer with 14+ years building scalable, maintainable systems across fintech, startups, and enterprise. He combines hands-on expertise in cloud-native architectures, DevOps automation, and full-stack development with recent, practical work in Generative AI—RAG systems, LLM orchestration, vector databases and MLOps. A former co-founder and CTO, he has built products end-to-end (including real-time SVG rendering and backend rendering pipelines) and led mission-critical data and ML initiatives in financial services. Comfortable switching languages and platforms, he pairs pragmatic engineering with a focus on code quality, testing and long-term maintainability. Based in Liège, Belgium, he’s known for mentoring teams to move fast without sacrificing reliability and for bringing production-readiness to cutting-edge GenAI projects.
14 years of coding experience
16 years of employment as a software developer
Athénée Royal Air Pur de Seraing
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Haute Ecole de la Province de Liège 'Rennequin Sualem'
Master's degree Computer Science, Master's degree Computer Science at HEPL - Haute Ecole de la Province de Liège
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