Christian Delacroix is an AI Solution Architect with a decade of experience translating advanced astrophysics and aerospace engineering expertise into production-grade AI and data-driven systems. Having led development of high-contrast imaging simulators and instrument control software for NASA, ESO and ELT projects, he now applies those skills to industrial-scale problems like drone-based vegetation mapping, geospatial rail asset monitoring, and predictive maintenance at Infrabel. He combines deep knowledge of big-data scientific pipelines, multi-CPU/GPU computing and ML techniques (PCA, ADI, LOCI) with practical cloud-native delivery using Azure DevOps and Cognitive Services. Fluent in bridging research and operations, he routinely aligns cross-functional stakeholders to embed AI where it delivers measurable safety and efficiency gains. An uncommon strength is his track record of turning laboratory-grade simulation and optics know-how into robust, scalable solutions for real-world infrastructure and mission-critical systems.
10 years of coding experience
3 years of employment as a software developer
Master of Engineering (MEng) in Aeronautics, Master of Engineering (MEng) in Aeronautics at Universitรฉ libre de Bruxelles
Doctoral degree (PhD) in Space Science, Doctoral degree (PhD) in Space Science at Universitรฉ de Liรจge
Master of Engineering (MEng) in Aerospace, and Master of Science (MSc) in Astrophysics, Master of Engineering (MEng) in Aerospace, and Master of Science (MSc) in Astrophysics at ISAE-SUPAERO
Contributions:29 pushes, 1 branch in 4 years 1 month
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Christian Delacroix - AI Solution Architect at Infrabel