# llms.txt

Site: Pedro Álvarez — AI Engineer Portfolio
Base URL: https://alvarezguirado.com
Scope: Personal portfolio, technical blog posts, professional background, and contact information.

## Primary pages
- Home: https://alvarezguirado.com/
- Structured profile (JSON): https://alvarezguirado.com/profile.json
- Capabilities: https://alvarezguirado.com/#capabilities
- Portfolio: https://alvarezguirado.com/#lab
- Blog index: https://alvarezguirado.com/blog
- Contact: https://alvarezguirado.com/#interface

## Blog excerpts
- Forecasting in the AI Era: How LLMs Are Transforming Time Series Prediction: https://alvarezguirado.com/blog/forecasting-in-the-ai-era — Exploring how Large Language Models are revolutionizing forecasting tasks, from time series prediction to market analysis, and what this means for data scientists.
- Securing Large Language Models: Risks, Strategies, and Best Practices: https://alvarezguirado.com/blog/securing-llm-applications — A comprehensive guide to understanding and mitigating security risks in production LLM deployments — from prompt injection to data leakage and beyond.
- Understanding the Model Context Protocol (MCP): A New Standard for AI Interoperability: https://alvarezguirado.com/blog/model-context-protocol-mcp — A technical deep dive into MCP — the emerging protocol that's transforming how AI models connect with external systems, databases, and enterprise tools.
- Building Production-Grade RAG Systems: Lessons from 10M+ Queries: https://alvarezguirado.com/blog/building-production-rag-systems — A deep dive into architecting and scaling Retrieval Augmented Generation systems, covering vector databases, prompt engineering, and cost optimization strategies.
- LLM Fine-tuning for Domain-Specific Tasks: A Practical Guide: https://alvarezguirado.com/blog/llm-finetuning-practical-guide — How we fine-tuned Llama 3 for content optimization at Gartner, including dataset preparation, training strategies, and evaluation metrics.

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