Hi, I'm Ravin

About Me

I am a researcher at Google Deepmind. For the last decade, I've focused on applied generative models. I previously built bespoke probabilistic Bayesian models for organizations such as SpaceX. Most recently I've worked on LLMs such as Gemini and Gemma.

At Google I contributed both to products such as NotebookLM and Project Mariner . You can find my work on Google Scholar , my blog, on my YouTube channel, or in my text books.

I also contribute heavily to open source, mainly with ArviZ and PyMC. I'm always happy to connect with interested folks. Feel free to reach out anytime.

See my work

A guidebook to Generative AI

This guidebook cuts through the noise, providing a clear roadmap for developers and researchers to navigate the rapidly evolving world of Generative AI.

Bayesian Modeling and Computation in Python

I co-authored a free, open-source textbook used by thousands for statistical modeling.

Courses in Intuitive Statistics

I developed a series of hands-on courses to help professionals master applied statistics.