Hello! 👋 I'm Evelyn, I'm a machine learning engineer with a background in physics, during my Bachelor's and Master's Degrees I studied cosmic ray anomalies at The Pierre Auger Observatory, and for 7 months contributed to the Atlas Experiment at CERN, then I switched to the Industry. My current focus are engineering solutions for the ML lifecycle, building queries and developing tools for reporting, monitoring, and data exploration using Airflow, Docker, Kubernetes, AWS SageMaker, and plenty of Python. My physics background helps me to understand mathematics behind algorithms and also helps me analyze data to develop new solutions, while my engineering experience provides me with tools to get models from ideas to production ready projects.Outside of work, my passions are astronomy, urban exploration, and enjoying long walks. For more you can visit evecoronel.com