As a Data / ML Engineer, I help clients leverage the power of data and AI to solve complex problems and create value. I have four Google Cloud certifications, including Professional Data Engineer, Cloud Architect, and Machine Learning Engineer, which demonstrate my proficiency and expertise in cloud-based data engineering and machine learning solutions. With a Master's degree in Computer Science from EPITA, I have a strong background in software development and algorithm design. I have led and contributed to projects in various domains, such as 3D modeling, autonomous vehicles, and healthcare. Some of my achievements include creating data processing pipelines on Google Cloud Platform for L'Oréal, training multi-agent deep reinforcement learning for landmark detection at Siemens Healthineers, and implementing and optimizing 3D volumes classification models on unbalanced datasets. I am fluent in Python and C/C++, and I specialize in Keras, Pytorch, and OpenCV. I am currently freelancing and open to new opportunities, where I can apply my data engineering and AI skills to challenging and innovative projects. I thrive in collaborative settings, where I can work with other talented professionals and learn from their feedback and insights. I am passionate about data and AI, and I always seek to expand my knowledge and skills in this fast-growing field. Let's connect and explore data and AI innovations together!