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gonzaloMorenoc/README.md

Hi, I'm Gonzalo Moreno 👋

Senior QA Automation Engineer & QA Architect

10+ years building robust test automation frameworks, AI-powered testing tools, and scalable QA architectures across financial services, telecom, retail, and cybersecurity sectors.


📖 My Book — Now on Amazon

Manual de QA para Sistemas de Inteligencia Artificial

Manual de QA para Sistemas de Inteligencia Artificial

LLMs · RAG · Chatbots · Agentes

A hands-on guide to testing modern AI systems — LLM evaluation, RAG pipelines, chatbot quality, red teaming, guardrails, drift monitoring, and AI agents. Written for QA engineers, SDETs, and developers who need to ship reliable AI.

🇪🇸 Available in Spanish · Paperback on Amazon


🏅 Certifications


🧰 Tech Stack

Languages

Python Java TypeScript JavaScript SQL Bash

Test Automation

Playwright Selenium Robot Framework Cucumber Rest Assured Karate TestNG JUnit

AI & LLMs

LangChain LangGraph Ollama HuggingFace ChromaDB RAG Prompt Engineering RAGAS MCP

CI/CD & Quality

GitHub Actions GitLab CI Jenkins Allure SonarQube

Performance & Security

JMeter k6 Locust OWASP ZAP

Infrastructure & Cloud

Docker AWS GCP Supabase Vercel


🧠 QA Philosophy

  • Automate what's repetitive, validate what matters
  • Collaborate like a dev, think like a user
  • Quality is a shared responsibility
  • The most critical bugs aren't always the most visible

📣 What You'll Find Here

Testing frameworks, proof-of-concepts, AI-powered testing tools, CI/CD utilities, and real-world examples built for actual QA workflows — from E2E automation to LLM evaluation pipelines.


🚀 Featured Projects

Project Description Stack
GuardiaCore · equiguardia.com Production healthtech PWA for managing medical on-call shifts in Spanish hospitals — live in 10 hospitals with 100+ doctors. Automatic assignment, weighted fairness, algorithmic transparency, and a shift-swap marketplace PWA JavaScript Supabase HealthTech
ai-testing-lab pytest lab for testing LLMs: RAG eval, red teaming, guardrails, drift monitoring — 14 modules, 382 tests, zero API calls needed Python pytest RAG LLM-Eval
Mnemo QA Continuity AI — turns scattered project knowledge (rules, flows, bugs, tests, CI) into test plans, Playwright automation, and searchable QA memory. 100% local LLMs, zero API cost Python FastAPI RAG Ollama Next.js
smartVisionQA Proof-of-concept for automated visual testing using local vision models via Ollama Python Ollama Vision-LLM
IstqbExaminator Interactive (unofficial) study tool to prepare the ISTQB® Certified Tester Generative AI Testing (CT-GenAI) certification JavaScript Web ISTQB
llm-eval-lab Testing framework for evaluating LLM chatbot models Python LLM-Eval

📊 Stats


🤝 Let's Connect

I write about QA, test automation, and testing AI systems. If my projects or my book are useful to you, a ⭐ on the repos and a follow here go a long way.

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  1. ai-test-generator ai-test-generator Public

    AI-powered test automation tool that generates Gherkin scenarios from Jira tasks using local AI models (Ollama). Auto-creates and links test cases in Xray with smart API component detection.

    Python 1 2

  2. smartVisionQA smartVisionQA Public

    Proof-of-concept for automated visual testing using local vision LLMs via Ollama — no cloud, no API keys, fully on-premise.

    Python 3 1

  3. ai-test-failure-analyzer ai-test-failure-analyzer Public

    Una IA que analiza el reporte de tests fallidos (por ejemplo de Cucumber o JUnit) y genera automáticamente un resumen de causas y sugerencias.

    Python

  4. etl-qa-framework etl-qa-framework Public

    Data-centric QA automation framework for validating ETL/ELT pipelines in Big Data environments — YAML-driven, Great Expectations validations, AWS S3 and Delta Lake ready.

    Python

  5. Mnemo Mnemo Public

    QA Continuity AI — a private, on-premise platform that turns scattered project knowledge (rules, flows, bugs, tests, CI) into test plans, Playwright automation, and searchable QA memory. 100% local…

    Python

  6. ai-testing-lab ai-testing-lab Public

    pytest lab for testing LLMs: RAG eval, red teaming, guardrails, drift monitoring — 14 modules, 382 tests, zero API calls needed

    Python 2