🤖 I build LLM agents and AI-powered automations that solve real business problems — from problem framing to tool integration, RAG, and deployment-ready workflows/APIs.

• 🎯 Focus: LLM Agents, AI Automation (n8n), RAG (embeddings + vector search)
• 🧩 End-to-end delivery: discovery → build → ship → iterate
• 🌍 Open to: Remote AI Engineer (LLM/Agents) roles + collaborations

🔗 LinkedIn: https://linkedin.com/in/laurasanchezgiraldo

• 🤖 Agentic workflows: tool use (APIs/DB/files), multi-step reasoning, guardrails & reliability
• 📚 RAG systems: knowledge bases with embeddings + retrieval and grounded answers
• ⚙️ AI automation: n8n workflows integrating LLMs with real business processes

Most of my production work is in private repos (FinTech). I’m publishing sanitized agent demos and reusable templates here.

AI/LLM: LLM Agents · Agentic Workflows · RAG · Embeddings · Vector Search · Prompting · Tool Use
Backend: Python · FastAPI · SQL
Automation: n8n · APIs · Webhooks
Data: Pandas · NumPy · Spark/Hive (when needed)
ML/DL: scikit-learn · PyTorch/TensorFlow (project-dependent)
Cloud: AWS (Cloud Practitioner — in progress)
Tools: Git · GitHub · Docker (if applicable)

I’m curating and shipping more public demos. In the meantime, you can check my pinned repos as they become available:

• 🔥 LLM Agent + Tools (pro-code) — coming soon / pinned
• 📚 RAG Knowledge Base (grounded answers) — coming soon / pinned
• ⚙️ n8n AI Automation (agentic workflows) — coming soon / pinned

I continuously study ML/DL and agentic systems while shipping practical work. Some repositories here may contain experiments, course notes, or foundational implementations.