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Sergio Valmorisco

Sergio Valmorisco

🇪🇸Madrid, Spain

GenAI Engineering Leader

Building production-ready GenAI systems with the evaluation rigor and operational discipline needed to ship GenAI that works reliably at scale. 8+ years in ML, including 2.5+ years leading GenAI at a major European payment processor.

Background

8+ years building production ML systems, including 2.5 years leading GenAI initiatives at a major European payment processor.

My experience centers on bridging the gap between GenAI prototypes and production systems. This includes building evaluation frameworks to measure quality, implementing monitoring to catch issues early, and designing architectures that scale reliably under real-world usage.

At enterprise scale, I've shipped LLM systems processing thousands of daily cases in high-stakes financial services environments. This work required the evaluation rigor and operational discipline necessary for systems where failures have significant business impact.

This hands-on production experience has shaped my approach to building GenAI systems that operate reliably at scale.

Core Strengths

Production-grade engineering

Experience with architecture patterns proven at enterprise scale. Built evaluation frameworks to measure quality before shipping. Implemented monitoring and observability from day one across multiple production systems.

Battle-tested in high-stakes environments

Shipped RAG pipelines, agent workflows, and LLM applications at enterprise scale in financial services. Debugged production failures and learned the common pitfalls in real-world deployments.

End-to-end ownership

Full-stack capability from system design through production deployment. Deep understanding of AI/ML, backend systems, evaluation frameworks, and operations that enables delivering complete working systems.

Evaluation-first mindset

Strong foundation in rigorous evaluation methodology. Experience building test datasets, metrics frameworks, performance benchmarking systems, and continuous monitoring for production GenAI.

Areas of Expertise

Core technical capabilities in GenAI engineering, from building production systems to providing technical leadership.

Production GenAI Systems

End-to-end implementation of RAG pipelines, AI agents, semantic search, and intelligent workflows with comprehensive evaluation frameworks and operational monitoring.

Key capabilities:

  • RAG systems with hybrid search and retrieval optimization
  • AI agents with tool use and structured reasoning
  • Evaluation frameworks (quality, latency, cost metrics)
  • Production monitoring and observability
  • Infrastructure and deployment automation

GenAI Engineering Leadership

Technical leadership for GenAI initiatives from architecture design to team enablement. Establishing technical direction, quality standards, and enabling teams to ship production systems.

Key capabilities:

  • GenAI strategy and technical roadmap
  • Architecture design and technical decisions
  • Evaluation frameworks and quality standards
  • Code reviews and technical mentorship
  • Cross-functional collaboration

What I've Built

Production systems built in high-stakes financial services environments, where reliability and evaluation rigor are non-negotiable.

AMLAI AgentsHuman-in-the-loopEvaluationLLMOps

Financial Crime Prevention GenAI

Global financial services

AI-assisted decision support for screening and AML investigations, with real-time processing, significant time savings, and comprehensive audit logging designed for financial services environments.

Customer SupportRAGChatbotEvaluationLLMOps

Customer Support GenAI

Global B2B operations

A suite of GenAI capabilities for ticket handling and support operations, adopted globally by all agents, with reduced pickup and resolution times and multi-language support.

Experience

Adyen logo

Generative AI Apps Lead

Adyen

June 2023 - Present

Madrid, Spain

  • •Led a group of 6 Data Scientists and AI Engineers building GenAI-powered applications to improve operational processes.
  • •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.
  • •Collaborated closely with product, engineering, security, and compliance teams to ensure systems were auditable, reliable, and approved for regulated deployment.
  • •Participated in hiring from team inception, conducted technical and cultural fit interviews, and mentored new team members.
  • •Designed and facilitated internal training sessions to promote GenAI knowledge sharing across teams. Presented demos and progress updates to leadership.
AI AgentsAI AutomationGenerative AIRegTechLLMMLOps
Instituto de Estudios Bursátiles (IEB) logo

Lecturer, Data Science

Instituto de Estudios Bursátiles (IEB)

July 2021 - Present

Madrid, Spain

  • •Developed and delivered lectures, hands-on sessions, and assessments for Introduction to Data Science, Machine Learning, Deep Learning, and Ethics of Artificial Intelligence.
Machine LearningDeep LearningData ScienceAI Ethics
JLL logo

Global Senior Data Scientist

JLL

August 2020 - June 2023

Madrid, Spain

  • •Applied data science to real estate, socio-economic, and geospatial data to support strategic decision-making at global scale.
  • •Designed, deployed, and maintained production-grade ML systems with monitoring, retraining, and explainability.
  • •Delivered solutions for real estate price prediction (AVMs), land use classification (Deep Learning), time series forecasting, renewable energy site selection optimization, and interactive client-facing dashboards.
  • •Led initiatives in data management, SQL performance optimization, and API development for model integration.
Machine LearningDeep LearningComputer VisionGeospatial AnalyticsMLOpsAzureDatabricks
Weplan Analytics logo

Data Scientist

Weplan Analytics

January 2020 - July 2020

Madrid, Spain

  • •Analyzed mobile app data for telecommunications and retail clients to support network optimization, customer profiling, and strategic decision-making.
  • •Developed an indoor/outdoor location classification model and explored human mobility patterns.
  • •Handled full data lifecycle: collection, preprocessing, feature engineering, analysis, visualization, and stakeholder presentations.
Data ScienceBig DataAWSPySparkData Engineering
Huawei logo

Data Analyst

Huawei

September 2017 - November 2019

Madrid, Spain

  • •Selected for Huawei's 'Breakthrough to ICT Engineering' high potential program designed to accelerate technical and leadership development.
  • •Delivered network performance analytics for Orange, Vodafone, and Telefónica using Big Data tooling.
  • •Built automation tools, dashboards, and reporting pipelines using SQL, Python, VBA, C#, and Power BI.
  • •Awarded Huawei Future Star (2018) for outstanding performance. Provided on-site technical support at Mobile World Congress 2019 in Barcelona.
Big DataNetwork OptimizationData AnalysisPython
itestra GmbH logo

Software Engineer (Intern)

itestra GmbH

November 2016 - February 2017

Cologne, Germany

  • •Contributed to implementation of a software platform for Zurich Insurance Group, supporting backend development and integration.
  • •Participated in German-language client meetings, translating requirements into technical specifications in a multicultural enterprise environment.
Software EngineeringBackend DevelopmentJavaPython

Skills

AI & Machine Learning

Generative AILLMsAI AgentsRAGPrompt EngineeringEvaluationMachine LearningDeep LearningNLPMLOpsLLMOps

Programming

PythonSQLPySparkJavaGit

ML Frameworks & Tools

Scikit-learnXGBoostHugging FaceLangChainLangfuseVector DatabasesPydanticFastAPISHAP

Cloud & Infrastructure

AWSAzureDatabricksDockerKubernetesCI/CD

Data Engineering & MLOps

MLflowAirflowDelta LakePrometheusGrafanaKibana

Visualization

TableauMatplotlibSeabornPlotly

Domain Expertise

FintechHealthtechLegaltechRegTechAML/ComplianceAPI DesignA/B TestingData ScienceSoftware ArchitectureData PrivacyIT SecurityAI Ethics

Education

Master in Data Science

KSchool

November 2017 - July 2018 • Madrid, Spain

Master of Science in Computer Science (Erasmus)

University of Bonn

October 2015 - September 2016 • Bonn, Germany

Master in Telecommunication Engineering

Universidad Politécnica de Madrid (UPM)

September 2014 - September 2016 • Madrid, Spain

Bachelor of Engineering in Telecommunication Technologies & Services

Universidad Politécnica de Madrid (UPM)

September 2010 - July 2014 • Madrid, Spain

Awards & Publications

"Enabling personalized VR experiences: A framework for real-time adaptation and recommendations in VR environments."

Springer. Virtual Reality 28.3 (2024): 128

JLL Hackathon 2022 Award

2022

Global hackathon competition winner

JLL

Huawei Future Star Award

2018

Recognition for outstanding performance and potential in Huawei's high potential 'Breakthrough to ICT Engineering' program

Huawei Technologies

4000€ research award for Master Thesis in Computer Science

AFCEA Bonn e.V.

Spanish Baccalaureate Excellence Grant

2010

Academic excellence scholarship

I.E.S. Cardenal Herrera Oria

Languages

🇪🇸

Spanish

Native

🇬🇧

English

Full professional proficiency

🇩🇪

German

Basic professional proficiency

Let's Connect

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