R&D Data Science Specialist - Backend AI Engineering
Rome, Lazio, Italy
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Summary
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Senior
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Daniele Fakhoury is an R&D Data Science Specialist and Backend AI Engineer with a PhD in Applied Mathematics and 13 years of experience bridging advanced research and production AI. He has led teams building agentic AI for automated testing and ticketing, and delivered enterprise generative-AI chatbots and RAG/NER solutions across finance and insurance using FastAPI, PyTorch and open-source LLM stacks. His background spans academia and industry—from original neural‑network architectures and space‑weather forecasting PoCs to production deployment with Docker, Ollama/Hugging Face and cloud DevOps. A practiced educator and communicator, he has supervised theses, taught CS/math courses, and authored 100+ LaTeX math articles for students, reflecting a talent for translating complex math into practical tools. Based in Rome, he combines rigorous theoretical training with hands‑on engineering, and outside work is a jazz enthusiast and avid reader, often drawing creative insight from literature into his problem solving.
12 years of coding experience
1 year of employment as a software developer
Dottorato di Ricerca - Doctor of Philosophy - PhD, Dottorato in Matematica applicata (machine learning / deep learning / computer science/ informatics), Honored Excellent Cum Laude, Dottorato di Ricerca - Doctor of Philosophy - PhD, Dottorato in Matematica applicata (machine learning / deep learning / computer science/ informatics), Honored Excellent Cum Laude at Università di Roma Tor Vergata
Rome-Moscow summer school, Matrix Methods and Applied Linear Algebra, Rome-Moscow summer school, Matrix Methods and Applied Linear Algebra at Московский Государственный Университет им. М.В. Ломоносова (МГУ)
Visiting, Visiting at Max Planck Institute for Plasma Physics
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Daniele Fakhoury - R&D Data Science Specialist - Backend AI Engineering