About Daniel
Ingeniero de IA con formación en Ingeniería Biomédica y especialización en Ciencia de Datos, con experiencia en el desarrollo end-to-end de soluciones de AI, GenAI y Machine Learning. He trabajado en proyectos de computer vision, RAG systems, document intelligence, knowledge retrieval, NLP y análisis de datos multimodales. Mi experiencia incluye el diseño de pipelines de procesamiento e inferencia, training y fine-tuning de modelos, evaluación, despliegue y escalado en entornos cloud. Combino una base técnica sólida con un enfoque práctico y orientado a producto para construir soluciones robustas, escalables y enfocadas en generar impacto real.
Spanish
Native or bilingual
Catalan
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- ASTRAZENECAArtificial Intelligence EngineerJanuary 2024 - Today (2 years and 5 months)Barcelona, Spain• Enterprise GenAI Projects: Led the design and delivery of AI solutions for knowledge retrieval and document intelligence, translating business needs into production-oriented solutions.•Document Ingestion & ETL: Built and productionized a scalable pipeline for enterprise document ingestion, including multimodal extraction, orchestration, and data connectivity.•Platform Integrations & Observability: Integrated key platform capabilities and enterprise connectors, including Microsoft Graph API, SharePoint, and LangSmith, to support real-world ingestion, observability, and system validation.•MLOps & AWS Deployment:Supported MLOps-related deployment and validation of AI solutions in AWS UAT environments, contributing to pipeline workflows, monitoring, and production readiness.•Architecture & Collaboration: Contributed to architecture decisions, technical documentation, and stakeholder communication across technical and business teams.
- SPANISH NATIONAL CANCER RESEARCH CENTER (CNIO)Computer Vision EngineerJune 2024 - June 2025 (1 year)Madrid, Spain•Microscopy Image Analysis Pipeline:Developed a modular Python pipeline for multiplex microscopy image analysis, including segmentation, feature extraction, cell phenotyping, and spatial analysis at single-cell resolution.•Tumor Microenvironment Quantification:Built automated workflows to quantify tumor heterogeneity, immune infiltration, and cell–cell proximity from multichannel fluorescence images.•Deep Learning Histopathology:Developed and validated a CNN-based attention-enhanced U-Net for tumor invasion front detection in H&E images.•HPC/GPU Data Processing:Processed large-scale microscopy datasets using HPC/GPU resources to optimize training and inference performance.•Translational Research Collaboration:Collaborated with multidisciplinary oncology teams to translate imaging data into actionable biological insights.
- WERIUM SOLUTIONSData Scientist and ResearcherJanuary 2022 - January 2024 (2 years)Madrid, Spain•Biomedical Signal Analysis: Processed EMG and ROM biosignals using filtering, normalization, and artifact removal techniques.•Biomechanical Metrics Extraction: Computed biomechanical metrics including coactivation index, joint range of motion, gait cadence, step width, and gait phase segmentation.•Statistical Analysis: Performed comparative analyses, identified significant changes, and generated tables and visual outputs to support result interpretation.
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Education
- Master's in Biomedical Data ScienceROVIRA I VIRGILI UNIVERSITY2025Master's in Biomedical Data Science
- Bachelor's Degree in BiomedicalSAN PABLO CEU UNIVERSITY2023Bachelor's Degree in Biomedical