Data exploitation for AI models in LPBF Manufacturing
Exploitation of data to train an AI model to control the porosity of LPBF parts
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I am currently completing my Master’s in Advanced Manufacturing and Smart Systems at ENS Paris-Saclay, where I have gained hands-on experience with data analysis and AI training through research internships in additive manufacturing. My work has included analyzing LPBF processes and optimizing manufacturing parameters, requiring careful data annotation and management. I am skilled in Python, MATLAB, and LS-Dyna, and have developed simulation codes and handled complex datasets, ensuring accuracy and reliability for AI model development. My strong research background, attention to detail, and problem-solving skills make me well-suited for roles in data labeling and AI training data preparation, particularly within engineering, manufacturing, or scientific domains. I am fluent in French and English, and bring a methodical, organized approach to every project I undertake.
Exploitation of data to train an AI model to control the porosity of LPBF parts
Master of Science, Advanced Manufacturing and Smart Systems
M2 FESup, Industrial Sciences
Research Intern
Examiner