Mathias Chouilly is a Data Scientist with 10 years of experience building production-ready machine learning and computer vision systems across startups and research labs in France. He currently applies ML at Datadog and independently develops consumer apps like Splito, a Flutter-based, synced expense-splitting app with OCR receipt scanning—demonstrating both product instincts and end-to-end engineering. His background spans research-to-production work (Python to C++), including large-scale image classification and reverse image search systems processing millions to billions of images. Early roles in ultrasound R&D and a Stanford visiting project show strong foundations in signal processing and experimental rigor. He champions software engineering best practices in ML teams and has a rare mix of physics training (ESPCI) and specialized machine learning education (ENS). Colleagues would notice his habit of turning research prototypes into maintainable, versioned production pipelines.
10 years of coding experience
5 years of employment as a software developer
Master of Science in Engineering, Physics, Master of Science in Engineering, Physics at ESPCI ParisTech
Master's degree, Machine Learning and Computer Vision, Master's degree, Machine Learning and Computer Vision at Ecole normale supérieure
Mathematics, Physics, and Chemistry, Mathematics, Physics, and Chemistry at Lycée Joffre
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