AI Developer / AI Automation Engineer
Daniela Lopera
I connect AI models to real operations with Python and n8n: clean code, well-thought workflows, measurable results.
Languages
AI / LLM
Automation
Backend & Data
Infra
Featured projects
Deep, runnable projects, not tutorials. Each shows when to use n8n for speed and when to use Python for complex logic.
Document Intelligence
A FastAPI microservice extracts structured data from PDF invoices; n8n orchestrates the business flow over an authenticated API.
Autonomous Support Agent
A Telegram agent that classifies intent with an LLM, answers from a RAG knowledge base, and escalates sensitive cases to a human.
RAG Engine
A retrieval-augmented generation pipeline with grounded structured output, provider-agnostic models, and a real evaluation harness.
ManoExperta Voice Agent
A production-style phone agent for a maintenance company: gives safe technical guidance from a knowledge base and books, reschedules and cancels appointments end to end.
About
I build hybrid automation: Python for the complex logic (APIs, RAG, data processing) and n8n for fast, reliable orchestration. I reach for each tool where it's strongest instead of forcing everything into one.
My focus is honest engineering: real implementations, grounded AI that doesn't hallucinate, structured outputs, retries and error handling, and prompts that are versioned and evaluated, not guessed.