Summary

Paige chronicles her journey in machine learning and open source technology, starting in 2009-2010 when open source software was just beginning to be trusted for business-critical work, contributing to foundational libraries like numpy and scikit-learn. Her career spanned geosciences at Chevron, working with early distributed computing frameworks like Cloudera and contributing to TensorFlow's GPU capabilities, ultimately leading to roles at Google, GitHub, and back to large model development. Her narrative emphasizes the transformative power of open source software and its critical role in advancing technological innovation across industries.