For most of Adi's professional life, she dealt with data and machine learning. As a data practitioner, she developed algorithms to solve real-world problems using machine-learning techniques.
As an engineer, she led the direction that brought the value of her hands-on machine learning experience into various companies products and services by building upon cutting-edge and emerging technologies.
This experience has taught her that scaling machine learning systems is harder than you might think.