Raed Bsili

Data Scientist & AI Research Engineer with 9+ years of experience applying Machine Learning, Artificial Intelligence, and Applied Mathematics to complex industrial systems in the aerospace and robotics sectors.

Available for short-term technical consulting and rapid AI/Data Science Proof-of-Concept (PoC) development, with the ability to deliver functional prototypes within a few days of focused work. I also support customers in identifying high-value AI opportunities, structuring data, and transforming it into practical PoC tools that generate quick operational wins.

Currently working within the Data Science department at Safran Aircraft Engines, where I lead Research & Technology initiatives focused on advanced analytics, predictive modeling, and AI-driven decision systems for large-scale engineering operations.

Recognized as a Expert within Safran’s “Maths & Algorithms” Expert Network, contributing expertise in statistical modeling, optimization, and machine learning applied to high-value industrial data.

My work focuses on bridging rigorous mathematical methods with real-world impact: transforming complex datasets into predictive insights, scalable AI systems, and decision-support tools that improve operational performance and reliability.