Divyansh Agarwal

Divyansh Agarwal is a Graduate Student Researcher at UCLA, focusing on Data-efficient Deep Learning. Previous experience includes serving as an ML Engineer Intern at Pinterest, where work centered on Generative Recommendations, and as a Machine Learning Engineer at Glean, enhancing search ranking personalization through proprietary algorithms. As an Applied Scientist at Uber, Divyansh contributed significantly to the development of UberX Share over 1.5 years. Earlier roles include undergraduate research at UC Berkeley, where novel approaches for causal inference using deep learning were developed, and internships at Quora, UnifyID, and Ixsight Technologies, involving data science and machine learning applications. Divyansh holds a Bachelor's degree in Computer Science and Statistics from UC Berkeley and is pursuing a Master's degree at UCLA.