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Ángel Delgado Panadero

Ángel Delgado Panadero

Data & AI Solution Architect

Madrid, Community of Madrid, ES
Spanish, English

Background


About

About

Data & AI Solution Architect with a physics background and 9 years of experience driving Data and AI adoption and modernization in companies across industries. Focused on defining AI use cases aligned with business strategy, from assessing current data architectures to designing enterprise-grade AI platforms and leading their delivery to production. Track record of engaging at strategic and executive level to ensure AI initiatives generate measurable business impact.

Work Experience

Work Experience

  • AI Engineer, Electronic Arts

    Sep, 2025 - May, 20268 months

    Development of AI-powered localization and evaluation applications, as well as deployment and serving of language models in production

    • [IT] GENAI LOCALIZATION SYSTEM — Deployed and maintained an internal LLM-based localization system for video game content across 20 languages, running open-source HuggingFace models on physical GPU servers

    • [IT] PROMPT EVALUATION SYSTEM — Built and deployed in production a human-in-the-loop evaluation platform for data scientists to assess and iterate on localization prompts across 20 languages, integrating automatic metrics (BLEU, ROUGE, TER) with human feedback

  • Data & AI Solution Architect, CONVOTIS Iberia

    Sep, 2024 - Sep, 20251 year

    Responsible for defining the company's AI consulting offering, leading technical presales, and helping clients design and execute an AI strategy with measurable business impact

    • [PRESALES] EXPERIENTIAL AI OFFERING — Designed and positioned a B2B consulting offering focused on diagnosing the customer journey for B2C companies, identifying friction points across proto-personas and sales channels, and proposing AI interventions tailored to each touchpoint

    • [RETAIL] CONVERSATIONAL AI FOR POINT OF SALE — Solely designed and deployed in production a conversational AI application installed across 3 large-scale retail locations (shopping centers), using an agent-based architecture capable of guiding customers through a structured conversational flow towards real-time product recommendations based on current shelf availability

  • AI Solution Architect, Minsait

    Jan, 2024 - Sep, 20248 months

    Responsible for presales technical designing end-to-end AI and data architectures for IBEX companies in response to client needs and for supporting delivery teams as tech lead throught archetypes to ensure the proposed solution was implemented as designed.

    • [PRESALES] GENAI COMPANY REFERENCE ARCHITECTURE — Designed the company's reference architecture for Generative AI solutions, based on containers and cloud services, combining data capabilities for ingestion, versioning and storage of unstructured information with AI layers to accelerate the design and delivery of GenAI solutions for clients

    • [INSURANCE] CONTACT CENTER ASSISTANT — Built a RAG + agent-based GenAI system to assist technical support agents across Spain and Portugal, deployed on Azure. Designed the full data ingestion architecture (Data Factory, Lambda Functions, App Services, Blob Storage, MongoDB). Led a team of 3 engineers.

    • [INSURANCE] CAU TICKETING CLASSIFIER — Designed and trained a neural network capable of classifying tickets across a 2-level taxonomy of 300 categories, achieving 95% accuracy in production

  • Data & AI Solution Architect, Paradigma Digital

    Apr, 2023 - Dec, 20238 months

    Responsible for defining the company's AI consulting offering, leading technical presales, and helping clients design and execute an AI strategy with measurable business impact

    • [PRESALES] DATA & AI ASSESSMENTS — Conducted assessments for 3 IBEX companies across insurance, public administration, and retail sectors covering data discovery, data lifecycle analysis, and business process understanding across functional domains. Based on the findings, proposed an AI adoption strategy following a dual-track approach: simultaneous development of a Data & AI platform alongside a curated sequence of strategic AI use cases, enabling business impact from day one while building long-term platform capabilities. All 3 assessments resulted in platform development and AI use case contracts

    • [IT] AUTOMATED API SCHEMA GENERATION — Built and deployed in production a RAG-based AI system for an IBEX company that automatically generated JSON schemas from functional requirements written in natural language, integrated with the client's Backstage instance and Data Lake for API discovery, standardization, and preprocessing. The system enforced company security protocols, schema registry standards, and consistently achieved A/A+ API Scoring quality grades

  • Machine Learning Engineer, Paradigma Digital

    Sep, 2021 - Apr, 20231 year 7 months

    Built and maintained MLOps infrastructure on AWS (SageMaker, ECS, ECR, Step Functions, Glue) to deploy and orchestrate ML models developed by other data scientists across multiple projects

    • [RETAIL] PRODUCT RECOMMENDATION SYSTEM — End-to-end recommendation system deployed in production on AWS for a wholesale distributor with a catalog of 150 parent products and 1,000+ SKUs: designed and trained neural networks incorporating the last N purchase baskets per customer to predict next-order recommendations; solved the cold-start problem for new products using collaborative filtering; integrated linear programming to ensure recommendations satisfied logistic constraints such as packaging compatibility and truck size configurations

  • AI Engineer, NTT Disruption

    Apr, 2020 - Mar, 202111 months

    R&D role focused on researching and analyzing the state of the art in AI to identify and propose the most suitable techniques and architectures for the solutions developed by the team

    • [HEALTH] VIRTUAL PATIENT OBSERVATION — Real-time patient monitoring system deployed in production at Hospital das Clínicas, São Paulo, detecting critical events such as falls, extubations, and unauthorized patient movement: fine-tuned OpenPose and Mask R-CNN for real-time pose estimation and instance segmentation, deployed on FPGA hardware to meet latency constraints; designed and trained LSTM networks for temporal event detection from pose sequences, enabling continuous 24/7 behavioral monitoring without storing video footage; developed color correction algorithms to normalize video input across varying lighting conditions

  • Data Scientist, Sngular

    Feb, 2019 - Apr, 20201 year 2 months

    Autonomously designed and delivered end-to-end ML solutions, from problem definition and data exploration to model development and production deployment

    • [SMART CITIES] STREET OBSERVAVILITY — Deployed a computer vision system on Raspberry Pi devices with cameras and sensors installed on street lamps for a public administration, implementing real-time traffic and pedestrian flow tracking using YOLO and conflict detection via heuristic algorithms. Piloted across 3 locations

  • Data Engineer, Sngular

    Dec, 2017 - Feb, 20191 year 2 months

    Autonomously designed and delivered end-to-end data processing and analytics solutions, from ingestion and transformation to deployment and consumption

    • [BANKING] SOCIAL AID FRAUD DETECTION — Built and deployed in production a statistical fraud detection system for a major international development bank, analyzing public aid and subsidies distributed to families across Mexico from 2012 to 2018. Applied statistical techniques including income per capita vs. aid distribution analysis and duplicate benefit detection to identify anomalous patterns

  • Data Analyst, Parclick

    Jun, 2017 - Dec, 20176 months

    Developed data pipelines and dashboards to help business to take decisions

    • [FINANCE] SALES REPORTING DASHBOARD — Built a company-wide PowerBI dashboard fed by an ETL pipeline in R ingesting data from the sales database, incorporating geographic data and time series models to forecast year-end revenue, used by the executive committee (CEO, CMO, CFO, CPO) for financial planning

Skills

Skills

  • Artificial Intelligence

    Machine Learning

    Deep Learning

    MLOps

    GenAI

    LLMs

    RAG

    Agents

  • Data Enginner

    Data Lake

    Data Warehouse

    SQL

    Spark

    Kafka

    Airflow

  • Platform

    AWS

    GCP

    Azure

    Linux

    Docker

    CUDA

  • Presales & Consulting

    Assessments

    Customer Journey

    Data Architecture Map

    Go-to-Market

    Agile

Education

Education

  • Data Science, Master, Utad

    Sep, 2016 - Jun, 2017

  • Physics, Bachelor Degree, Universidad de Salamanca

    Sep, 2012 - Jun, 2017

Volunteer Work

Volunteer Work

  • Associate Professor in NLP, Universidad Autónoma de Madrid

    Jan, 2024 - Present

    Part-time lecturer teaching applied AI and ML with a focus on NLP

  • Bootcamp Instructor, Qualentum

    Jan, 2022 - Dec, 2024

    Taught Python programming in Backend with Python and AI Development bootcamps

  • Bootcamp Instructor, Geekshub Academy

    Jan, 2022 - Dec, 2024

    Taught MLOps in the AI and Big Data bootcamp

  • Professor — Master in Big Data and Analytics, EAE Business School

    Jan, 2021 - Dec, 2023

    Supervised final master's projects (TFM) focused on AI applied to business use cases

Publications

Publications