Lessons From Deploying Deep Learning To Production

When I started my first job out of college, I thought I knew a fair amount about machine learning. I had done two internships at Pinterest and Khan Academy building machine learning systems. I spent my last year at Berkeley doing research in deep learning for computer vision and working on Caffe, one of the first popular deep learning libraries. After I graduated, I joined a small startup called Cruise that was building self-driving cars. Now I'm at Aquarium, where I get to help a multitude of companies deploying deep learning models to solve important problems for society.