The intersection of Mathematical Precision and Agentic Intelligence. I don't just build chatbots; I architect production-ready agentic ecosystems. With a Double Degree in Mathematics & Computer Engineering, I specialize in bridging the gap between theoretical modeling and high-performance, observable AI infrastructure.
🌐 Portfolio & CV | 📧 Email | Linked-In
A full-stack demonstration of "Production-First" AI Engineering.
This isn't a simple wrapper. It’s a stateful, monitored, and self-hosted environment designed to scale educational interactions.
- 🧠 Stateful Multi-Agent Logic: Orchestrated with LangGraph for complex reasoning paths and Qdrant for high-performance RAG.
- 🔌 Private AI Infrastructure: Reduced latency and cost-zero scaling by self-hosting via vLLM and Ollama.
- 📊 Enterprise Observability: Implemented a full Grafana/Prometheus/Loki stack to monitor agent performance and log health in real-time.
- 🏗️ Modern DevOps: Built with FastAPI & Vite, secured with pre-commit hooks, and deployed via GitHub Actions CI/CD.
- Intern Researcher @ Loomis AI Hub & Fundación IA Granada
- Focus: Transforming corporate challenges into AI solutions. Researching state-of-the-art LLM implementations for real-world business logic.
- R&D Intern @ UGR (University of Granada)
- Focus: Architecting LLM-driven educational tools focused on automated student evaluation and pedagogical support.
| Domain | Expertise |
|---|---|
| AI / Agentic | LangGraph, LangChain, RAG (Qdrant), vLLM, Ollama |
| Engineering | Python (Expert), C++ (Advanced), FastAPI, Pydantic |
| Observability | Grafana, Prometheus, Loki, Promtail |
| Infrastructure | Docker/Podman, CI/CD (GitHub Actions), Linux SysAdmin |
| Theory | Statistical Modeling, Optimization, Experiment Design |
- rumorflow – Modeling rumor propagation through conversational graphs (Mathematical focus).
- MyCV – Automated portfolio infrastructure designed for recruiter transparency.
I believe the future of software isn't just "writing code," but building systems that reason. My approach combines:
- Mathematical Rigor: Deeply understanding the why behind model behavior.
- Systems Engineering: Ensuring the how is scalable, private, and observable.
- Human Focus: Making AI a tool that actually improves education and business.
- Open to: AI Engineering roles, Agentic Workflow development, R&D positions.
- Key Advantage: Rare hybrid of high-level math and low-level infrastructure.
- Location: Spain / Remote.