Deepit Shah is a Co-Founder at StableBrowse, a Y Combinator-backed browser runtime built specifically for enterprise AI agents, tackling the core challenges of authentication, reliability, and LLM intent at the browser layer.

Deepit studied Computer Science at the University of Illinois Urbana-Champaign, where he built a strong foundation in machine learning and scalable backend systems, including an internship at Amazon.

Deepit brings a rare combination of deep ML expertise and systems-level engineering thinking, positioning him to solve one of the hardest infrastructure problems in the AI agent era.

StableBrowse was accepted into Y Combinator's Spring 2026 batch alongside co-founders Sarthak Awasthi, Jay Mehta, and Somansh Shah, giving agents semantic understanding of the web rather than brittle visual interfaces.

StableBrowse enables AI agents to perform deep research, large-scale scraping, and complex automation by turning the web into a native protocol for LLMs, addressing a critical gap in enterprise AI infrastructure.