I started my career as a Software Engineer, building and deploying web applications, designing backend APIs, and working with Docker and Linux-based environments. Over time, I became increasingly interested in data, which led me to transition into Data Science and Machine Learning.
Today, I enjoy working on machine learning projects, especially time series forecasting and end-to-end data pipelines. I like combining software engineering practices with data and AI to build practical, reliable solutions.
I'm pursuing a Master's degree in Data Engineering at Université Paris-Saclay and always looking to learn more about machine learning, data engineering, and MLOps.