Santona Tuli

About

Santona Tuli, PhD began her data journey through fundamental physics—searching through massive event data from particle collisions at CERN to detect rare particles. She’s since extended her machine learning engineering to natural language processing, before switching focus to product and data engineering for data workflow authoring frameworks. At Astronomer, she helped improve the development experience for data science and machine learning pipelines in popular data orchestration tool, Airflow. Currently at Upsolver, she leads data engineering and science, driving developer research and product strategy for declarative workflow authoring in SQL. Dr. Tuli is passionate about building, as well as empowering others to build, end-to-end data and ML pipelines, scalably.