Senior technology leader with +13 years of experience in software architecture, enterprise solutions, and technological transformation. Currently leading AI & Cloud Architecture initiatives in the financial sector, with a strong trajectory from hands-on development to enterprise architecture leadership.

• 🏦 Lead of AI & Cloud Architecture at BBVA Bank — Leading the team responsible for defining, designing and implementing the bank's AI and Cloud architecture strategy.
• 🎯 Driving the adoption of AI Agents, LLMs, and Cloud-native solutions across the organization.
• 🔬 Focused on building robust architectures that integrate Deep Learning, LLMOps, Agents, modern AI and cloud platforms.
• 🧪 Passionate about continuous research — constantly exploring new LLMs, frameworks, and emerging paradigms.
• 📈 Evolving towards Enterprise Architecture, aligning technology strategy with business goals.

💡 While I transitioned from developer to architect, my hands-on experience across multiple projects and technological paradigms remains fundamental to designing practical, implementable solutions.

Enterprise Architecture

Integration & Architecture Patterns

Cloud & Infrastructure

AI Agents & LLM Frameworks

Deep Learning & LLMOps

Development Background

• 🏛️ Enterprise Architecture — TOGAF-aligned approach, bridging technology and business strategy
• 🧠 AI Architecture — Designing agentic systems, RAG architectures, multi-agent patterns, and LLM integrations
• 🔬 Autonomous Systems — Currently in research & experimentation phase — Exploring self-orchestrating AI agents and multi-agent patterns
• ☁️ Cloud Strategy — Multi-cloud architecture, cost optimization, and cloud-native development
• 🔗 Integration Patterns — SOA, EDA, Event Sourcing, EIP for complex enterprise systems
• 👥 Technical Leadership — Building and mentoring high-performance architecture teams
• 🔐 Security & Compliance — Implementing secure architectures in regulated industries (LLM Guard, guardrails, JWT, OAuth, Criptography)

🧪 I'm constantly exploring, experimenting, and staying at the forefront of emerging AI technologies. This section reflects my ongoing research — not production implementations.

🤖 Multi-Agent & Autonomous Systems (Active Research)

• Exploring patterns for autonomous agent collaboration and orchestration
• Experimenting with self-improving systems using LangGraph, AutoGen, and CrewAI, MCP, A2A, A2P.
• Investigating multi-agent architectures for complex problem-solving

🧠 Emerging LLMs & Frameworks (Continuous Exploration)

• Evaluating new foundation models as they emerge (open-source and proprietary) like minimax and HRM.
• Testing cutting-edge frameworks and libraries for agentic AI
• Experimenting with new paradigms: reasoning models, tool-use patterns, and memory systems (context, short and long)

🖥️ Local & On-Premise Inference (Experimentation)

• Deploying LLMs locally with llama.cpp and llama-server for privacy-sensitive use cases with security APIs and LLM Gateway.
• Benchmarking quantization techniques and inference optimization (Q4, Q5 and Q6)

📊 LLMOps & Observability (Research & POCs)

• Building proof-of-concepts for production-grade LLM pipelines
• Exploring observability patterns with Langfuse and similar tools (sesions, trace, span, logs)

🛡️ AI Safety & Guardrails (Ongoing Study)

• Researching responsible AI implementation with llm-guard (masking, scanner) and LLM-as-a-judge.
• Exploring security patterns and safety mechanisms for LLM applications

• 📚 Continuous learning and researching disruptive technologies
• 🤖 Deep Learning, AI Agents, and Autonomous Systems
• 🌐 Open source software and knowledge sharing
• 🎓 Technology education and mentoring

"Architecture is not just about technology—it's about enabling business transformation through thoughtful design and innovation."