International AI & Cloud Delivery
A proven record of customer engineering engagements, technical leadership, and enterprise architectural deployments across key global technology hubs:
18+ Years of AI & Cloud Leadership
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AI Specialist Customer Engineer, AI native
San Francisco, USA
Embedded with key enterprise partners to co-develop and deploy cutting-edge AI architectures, driving high-impact solutions from prototype to production.
Conducted deep-dive technical debugging and hands-on implementation on customer infrastructure to resolve complex AI/ML blockers, directly enabling significant business opportunities.
Provided critical feedback to core product engineering and authored technical guides on optimizing advanced AI models for resource-constrained environments, influencing future platform roadmap.
Microsoft
Data And AI Cloud Solution Architect
Silicon Valley, USA
Primary customer-facing architect for Azure's largest global customer (>$1.5B in cloud spend), driving strategic AI and cloud adoption.
Led the successful implementation of Microsoft Purview at Fortune 1, onboarding 100K+ databases and enabling enterprise-wide governance at scale.
Projected to drive $8M in revenue (ACR) for FY25, spearheading Data & AI initiatives for Fortune 1 and other enterprise clients.
Developed and delivered internal AI and cloud training programs for 1,000+ Microsoft sales professionals, equipping teams with technical expertise to accelerate customer adoption.
Optimized AI and data architectures through cross-functional collaboration with engineering, sales, and customer success teams, ensuring seamless enterprise deployments.
Led large-scale AI initiatives for American enterprises, implementing advanced Retrieval-Augmented Generation (RAG) systems to enhance enterprise search, knowledge retrieval, and automation.
Developed and optimized forecasting models leveraging multi-model AI architectures, driving demand prediction, inventory optimization, and business decision-making with a projected 15% cost savings on total revenue.
Microsoft EMEA
EMEA Data And AI Cloud Solution Architect / Data Scientist
Madrid, Spain
Designed and delivered cross-industry AI solutions using Azure architectures for Retail, Manufacturing, Oil & Gas, and FSI sectors in EMEA. Total new work sold (NWS) of EUR 12M.
Architected ML applications leveraging GPT-2, GPT-3, Turing NLG, and Cognitive Search to drive AI-driven transformation.
Delivered IoT-driven AI solutions for Retail and Manufacturing, designing supervised and unsupervised ML architectures with scalable MLOps pipelines.
Led advanced analytics projects using Azure technologies, serving as both Technical Lead and Data Engineer.
Designed and deployed online and offline ML applications, optimizing inference and training pipelines.
EY (Ernst & Young)
EMEIA Manager at Big Data & Analytics
Madrid, Spain
Led advanced analytics initiatives and established discovery labs within the Center of Excellence (CoE), managing a $50M budget to drive AI innovation for financial institutions across EMEIA.
Other Financial & Tech Positions
Quant & Risk Modeler
Madrid, Spain
Banco Santander: Equity Model Validation quant (4 years)
BBVA: Credit Risk Model developer (2 years)
Accenture: Junior Analytical Consultant (6 months)
Unicaja: Intern (6 months)
Education & Advanced Degrees
Nova Southeastern University
PhD Student in Information Systems
Doctoral research focusing on advanced AI systems, agentic workflows, and cloud information systems.
UC Berkeley
Master's in Information and Data Science (MIDS)
Focus on AI, NLP, ML, and Cloud Engineering (Docker, Kubernetes).
MIT
Architecture of Complex Systems
System Architecture and Engineering Professional Program.
Afi Escuela
Master's in Quantitative Finance
Advanced financial modeling, stochastic calculus, and quantitative analysis.
Oviedo University
MSc Mathematics, Specialty: Statistics
Rigorous mathematical foundations, statistical theory, and probability models.