TanayShah.

I'm Tanay. I build production AI infrastructure — agent loops, sandboxed runtimes, durable event-sourced chat, the iOS clients that hang off them. The kind of system you'd want behind your own product.

The way I work: pick a hard problem, draw the diagram, ship the first version in days, instrument it, iterate. I think about agent systems for fun — LangGraph + Claude with on-demand tool loading; gRPC bridges between API and slim agent pods; Python sandboxes built on JSON-RPC, AST validation, and seccomp-locked bubblewrap. The diagrams in §02 are real, the numbers in §03 are measured.

// MOST RECENT CHAPTER
Fourteen weeks as Founding Engineer at Structured AI (NYC). 1,035 commits across backend, frontend, iOS, Revit, and infra. Architect of Document Agent v2 (the system in §02), the Programmatic-Tool-Calling sandbox, AEC-Bench, and the iOS app from zero. Before that: distributed systems at Intuitive Labs SF; two years of ML research at UMD's iSchool fine-tuning Llama on twenty million Wikipedia AfD comments. I started writing CNNs at sixteen.

Senior at the University of Maryland — departmental honors in CS, Statistics minor, graduating December 2025. The page below is instrumented; you can read it like a spec.