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Cro22/README.md

Jesús Nuñez

Senior backend engineer building LLM systems that behave in production — Go for the systems, Python for the agents.

I work at the boundary between solid backend infrastructure and language models that have to be reliable: structured output, retrieval, multi-agent orchestration, and the deterministic fallbacks, cost caps, and validation guardrails that keep them honest. Eight years across Go, Node/TypeScript, and cloud platforms — from backend IC work to leading engineering teams.

What I'm building

CloudOracle — a multi-cloud FinOps toolkit in Go + Python. It audits live AWS/GCP/Azure spend, prices Terraform PRs before they merge (as a GitHub Action), and answers cost questions through a guardrailed multi-agent LLM system: a hand-rolled LangGraph supervisor, RAG over pgvector, semantic answer validation, and deterministic no-LLM fallbacks.

Working with

Go · Python · TypeScript / Node · React / React Native · PostgreSQL · pgvector · Redis · AWS · GCP · Docker · LangGraph · FastAPI

Currently

  • Building agentic LLM systems with real reliability engineering — evals, cost caps, deterministic fallbacks
  • Working toward CKAD

Reach me

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  1. CloudOracle CloudOracle Public

    Multi-cloud FinOps tool that analyzes AWS, GCP & Azure resources to find waste and optimize costs. Built in Go with LLM-powered insights and React dashboard.

    Go 5