Stephen Hamon

• 𝗥&𝗗 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 – 𝗗𝗮𝘁𝗮 𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜: Focus on enhancing data availability through synthetic data generation using state-of-the-art generative models for tabular data. The project addresses growing data needs while meeting strict security and compliance requirements. Includes a comprehensive benchmark of existing models, followed by a comparative study on internal datasets. A modular and reusable pipeline is designed to integrate with various business use cases, enabling scalable and secure data augmentation strategies. 𝐓𝐨𝐨𝐥𝐬: PyTorch, GitLab

• 𝗥&𝗗 𝗖𝗵𝗮𝘁𝗯𝗼𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: Developed tools for intelligent data processing, including chunking, embedding, and handling various types of data. Conducted a comprehensive review of state-of-the-art chatbot technologies to design a versatile architecture optimized for response quality and processing speed. The architecture aimed to be reusable and easily customizable for various applications. • 𝗖𝗹𝗶𝗲𝗻𝘁 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Collaborated with a team to personalize a chatbot architecture for a client’s specific needs, ensuring it met all deliverables. This process involved setting up, testing and analyzing the product. • 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴: Gained experience in Google Cloud Platform (GCP) and production deployments, with a focus on MLOps and CI/CD practices. 𝗧𝗼𝗼𝗹𝘀: Python, GitLab, Microsoft Azure

R&D project in collaboration with Saint Laurent: Study and application of several product recommendation systems to increase brand sales while respecting its depiction and strategy (Data Science, Deep Learning, Data Analysis). Supervised by Dr. Parisa Rastin.

Operator Internship at Eramet Ideas (a R&D company in the mining sector): integral wiring and manufacture of missing parts of a washing trommel /w round separator.