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Jorge Ribeiro

@jorgeedribeiro

AI-native full-stack engineer. LLM agents (LangGraph, RAG, evals), React + FastAPI, MLOps on managed cloud. Public & live.

Brazil

Message

What I'm looking for

I’m looking for a team where I can ship production-grade LLM agents with governed RAG/text-to-SQL, eval-driven quality gates, and reliable deployments—remote and async—while going deeper into multi-agent architectures and evaluation pipelines.

I’m an AI-native full-stack engineer who takes real operational data “from raw ingestion to production.” I build end-to-end systems: React front ends, FastAPI backends, LangGraph agent logic (ReAct + tool-using agents), governed text-to-SQL, RAG, evaluation pipelines, and a running observable deployment—without becoming “AI-dependent.”

My work is public and live: full-stack agent demos (React + FastAPI + MCP + evals + SSE streaming) and a complete MLOps spine (MLflow registry → serve → drift → retrain) running on managed cloud (Google Cloud Run + Neon Postgres). I back it with a strong data engineering foundation (telemetry ingestion at 100k+ records/day, 90M+ history in ~12 GB DuckDB) and applied ML (forecasting, anomaly detection, time-based validation), plus quality gates like pytest guardrails and metric-gated promotion with rollback.

Experience

Work history, roles, and key accomplishments

Current

Planning & Operations Control Analyst

Current

Waste-Management Operation

Aug 2025 - Present (11 months)

Designed and shipped an end-to-end AI-native full-stack system with an authenticated FastAPI backend and React front end, including LangGraph ReAct agents with governed text-to-SQL and RAG over operational history. Built production-grade data engineering and ML/MLOps pipelines (telemetry ingestion, anomaly detection, forecasting, drift monitoring, and auto-retraining) deployed on Google Cloud Run

Administrative Assistant

Waste-Management Operation

Apr 2024 - Aug 2025 (1 year 4 months)

Analyzed operational efficiency using Python/Pandas, producing indicators and rule-based performance predictions. Built an initial OCR project using PyTesseract and OpenCV as a foundation for moving into data-science work.

Python Pandas OpenCV