Navneet Potti

I’m Navneet (Nav) Potti, a Staff Research Engineer at Google DeepMind. I build zero-to-one AI systems—often at the boundary of research and product—where ambiguity is high and the full stack matters.

Over the past decade, I’ve worked across finance, data systems, and AI: helping stand up teams and platforms at Goldman Sachs and Google; designing high-performance databases and security-sandboxed execution environments; inventing and patenting algorithms; and co-founding a startup in conversational data analytics (DataChat), which was later acquired.

Today, my work focuses on making Gemini a more capable long-horizon software-engineering agent, combining post-training research with the infrastructure, evaluation, and systems needed to turn ideas into reliable behavior.

Outside work, I’m busy cultivating my own Natural General Intelligence (my daughter), alongside super-human intelligence (my wife).