> Falconer site index for agents: https://falconer.com/llms.txt. HTML version of this page: https://falconer.com/authors/apoorva-shete/

# Apoorva Shete

> Apoorva Shete is a Product Engineer at Falconer where she focuses on building search infrastructure, data ingestion systems, and maintaining Falconer's knowledge graph.

![Apoorva Shete](https://falconer.com/_astro/apoorva-shete.C1Zcr9KV_Z22l6pz.webp)

Author

# Apoorva Shete

Product Engineer at Falconer

Apoorva Shete is a Product Engineer at Falconer where she focuses on building search infrastructure, data ingestion systems, and maintaining Falconer's knowledge graph.

[](https://x.com/apoorvaShityeah)[](https://www.linkedin.com/in/apoorva-shete/)

## Notes from Apoorva Shete

[

June 25, 2026

## Docs-as-code as simple as Google Docs

Customer guides, onboarding flows, API references: they live in the codebase, where the people who write them can't easily edit. So they keep a working copy somewhere else and maintain two versions of the same thing, forever.

By Apoorva Shete

](https://falconer.com/notes/docs-stuck-in-repos)[

May 21, 2026

## How others build agent memory, and what I took from each

ChatGPT, Claude Code, and Letta have each built production memory systems for AI agents. Looking at the differences shaped how I built agent signals for Falconer.

By Apoorva Shete

](https://falconer.com/notes/how-others-build-agent-memory)[

April 28, 2026

## Agent Personalization: an agent that knows you

Falconer now tailors every response to who you are. Agent Personalization builds a lightweight, transparent profile of your role, team, and preferences — fully editable, with every attribute traced back to its source.

By Apoorva Shete

](https://falconer.com/notes/agent-personalization)[

February 4, 2026

## Rethinking data ingestion as a DAG

How we reduced data ingestion time from hours to minutes by reimagining our pipeline as a directed acyclic graph. This post covers the architectural shift from async workflows to job queues, the migration strategy we used to preserve behavior, and the observability patterns that helped us identify and isolate bottlenecks at scale.

By Apoorva Shete

](https://falconer.com/notes/rethinking-data-ingestion-dag)