Sneha Reddy Kudugunta

I joined the Google AI Residency right after receiving my bachelor’s degree in Computer Science and Engineering from Indian Institute of Technology, Hyderabad. While there, I worked on viewing neural networks in terms of quasi-convex optimization problems. I’ve also spent time at the Institute for Pure and Applied Mathematics, UCLA modeling cryptographic side-channel attacks, and at the Information Sciences Institute, USC using machine learning to detect social bots. These experiences have gotten me interested in both understanding language - especially in less structured contexts - and in using mathematics to understand machine learning. Given my diverse interests, the opportunity to explore different research interests before grad school at a place that has teams working on a broad variety of areas is what drew me to this program. I’m currently working on improving transfer learning in the context of natural language understanding - the difficulties associated with natural language understanding make transfer learning in this context an especially exciting challenge. My time here so far has been amazing - over the next year, I’m excited to learn and make use of all the opportunities available at Google. In my free time, I enjoy reading, exposing my friends to cringe-pop, doodling (sketchpad optional!) and being outdoors.