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pjcastillog95/README.md

Pablo Castillo

I design conversational AI agents for companies and put them into production. Most of them sell or quote over messaging and voice, connected to the client's ERP and CRM. I work in Python with LangGraph, Gemini and Google Cloud Run. Before an agent ships, I evaluate it against golden sets of real business scenarios.

My rule for these systems is that the model handles the conversation and deterministic code handles anything with a correct answer: prices, stock, terms and routing.

Industrial engineer and MSc in Artificial Intelligence, Pontificia Universidad Católica de Chile. Before AI agents, I spent almost six years in analytics and BI at a Fortune 500 financial services company. Based in Santiago, Chile.

Selected work

  • voice-quote-agent: a prototype voice agent on ElevenLabs Agents that quotes container rentals. The quotes come from webhook tools, and negotiation goes to a person.
  • agent-golden-set-eval: golden-set evaluation for a quoting agent. It uses deterministic checks, and CI blocks the release if a single quote is wrong.

Contact

LinkedIn

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  1. agent-golden-set-eval agent-golden-set-eval Public

    Golden-set evaluation for a quoting agent: deterministic checks and a release gate.

    Python

  2. voice-quote-agent voice-quote-agent Public

    Prototype voice agent on ElevenLabs Agents that quotes container rentals through deterministic webhook tools.

    Python