I'm a Senior MLE at Google, where I lead efforts in scaling and optimizing recommendation systems. My day-to-day involves navigating the friction between information retrieval theory and the reality of billion-parameter models.

I started in Physics, which shaped my preference for first-principles thinking. I’m fascinated by the "why" behind Transformer architectures and the emergent properties of generative models. Since my production work is largely under NDA, this site serves as an outlet for my deep dives into infra, data systems, and the internals of deep learning.

Feel free to connect with me on Linkedin. If you're curious about my work, take a look at my side projects or my résumé. I am open to coffee chats.