Antoine Meilliez

As a Machine Learning Engineer, I am passionate about the new applications offered by the rise of AI. Many opportunities are opening up and I help my clients gain a foothold or consolidate their position in this transformation.

I have had the privilege of collaborating with companies of all sizes, from startups to large corporations, on very diverse issues (recommendations, chatbots, object detection, forecasting, etc.) and, for many of them, to actively follow and contribute to the initial development, improvement, and production deployment of their data science solutions.

This experience, reinforced by my entrepreneurial background, gives me the conviction that a sustainable data science solution is built on three pillars: technical excellence, close contact with user needs, and rigorous mastery of development processes.

My expertise covers a wide range of skills, from data analysis to statistical modeling, software development, and cloud engineering. I have a particular and long-standing interest in natural language processing and time series analysis. Finally, having started my own company and led the development of a radically innovative product (consumer EEG) has taught me to identify business (or user) needs and translate them into effective technical solutions.

As a strong advocate of MLOps, I also master CI/CD practices, deployment (including Docker), relational and unstructured data management, and cloud engineering with most major providers (Azure, AWS, GCP).