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Lucas Luxdanoit operates at the confluence of software engineering, artificial intelligence, and electronic music production under the artist name Magodecaidenza. His engineering background includes degrees from CentraleSupélec and Sorbonne Université, followed by technical roles at Sopra Steria and IBM. His core competencies span full-stack development, machine learning engineering, and project management. The technical foundation of his work rests on Python, Java, and C++, complemented by cloud infrastructure expertise in AWS and Docker. His machine learning implementations leverage PyTorch and TensorFlow frameworks, with specialized focus on MLOps and scalable software architecture. These capabilities support both his engineering projects and music technology initiatives. Luxdanoit maintains an active electronic music production practice alongside his technical work. His creative output includes original music releases, live performances, and studio documentation shared through digital platforms. This integration of computational and musical pursuits informs his contributions to both software development and sound design.