About Sergio
Who I am
What I bring
- Production-grade engineering: Architectures proven at enterprise scale, with evaluation, monitoring, and observability built in.
- Battle-tested experience: RAG pipelines, agent workflows, and LLM applications in high-stakes industries.
- End-to-end capability: From design through deployment, delivering complete working systems.
- Evaluation-first: Rigorous methodology, test datasets, metrics, and continuous monitoring.
Typical projects
- GenAI Product Development: RAG systems, AI agents, semantic search, intelligent workflows, content generation.
- Fractional Engineering Leadership: Technical roadmap, architecture, team enablement, quality standards.
- Production infrastructure: Deployment, evaluation frameworks, monitoring, cost control.
Selected experience
- Owned delivery of production GenAI systems at enterprise scale supporting global operations: ticket routing, summarization, semantic retrieval, chatbots, QA, and AI-assisted KYC/AML workflows.
- Designed and deployed production ML systems with monitoring, retraining, and explainability across fintech, real estate and telecom.
How I engage
- Senior individual contributor or fractional technical lead.
- Mid-term engagements (3+ months).
- Remote-first, EU-based projects.
- Ownership from problem framing through delivery.
Spanish
Native or bilingual
English
Native or bilingual
German
Basic
Experience
- AdyenGenerative AI Apps LeadDIGITAL AND ITJune 2023 - Today (3 years)Adyen provides payments, data, and financial products for global clients like Meta, Uber, H&M, and Microsoft.
- Owned delivery of production GenAI systems at large enterprise scale, supporting global operations, including ticket routing, summarization, semantic retrieval, chatbots, QA, and AI-assisted KYC/AML workflows. Applications processed thousands of daily cases and alerts across global channels.
- Collaborated closely with product, engineering, security, and compliance teams to ensure systems were auditable, reliable, and approved for regulated deployment, while defining roadmap and priorities.
- Mentored and scaled a team of 6 Data Scientists, led internal GenAI enablement initiatives, and presented progress and risk assessments to leadership.
- JLLGlobal Senior Data ScientistREAL ESTATEAugust 2020 - June 2023 (2 years and 10 months)Applied data science to real estate, socio-economic, and geospatial data to support strategic decisions at a global scale.
- Designed, deployed, and maintained production-grade ML systems with monitoring, retraining, and explainability.
- Delivered solutions including real estate price prediction, land use classification, time series forecasting, client-facing dashboards, and internal AI training initiatives.
- Communicated model outputs and insights to product teams and senior stakeholders to inform enterprise decisions.
- Instituto de Estudios Bursátiles (IEB)Lecturer, Data ScienceEDUCATION AND E-LEARNINGJuly 2021 - Today (4 years and 11 months)Developed and delivered lectures and hands-on sessions for Introduction to Data Science, Machine Learning, Deep Learning, and AI Ethics.
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Education
- Master in Data ScienceKSchool2018Master in Data Science
- Master of Science in Computer Science (Erasmus)University of Bonn2016Master of Science in Computer Science (Erasmus)