Jose Antonio Jimenez

IA Expert & Team Leader

Greater Sevilla Metropolitan Area

About

I’m a hands-on, strategic technologist focused on artificial intelligence, data science, and advanced automation systems. I design, develop, and deploy solutions across high-impact sectors including healthcare, defense, energy, biotechnology, public administration, and education. My work blends systems thinking, ethical foresight, and technological depth. I operate across the full development cycle, translating complex AI frameworks (GPUs, MLOps, LLMs, autonomous agents) into robust, real-world applications with measurable outcomes. From predictive bio-twins and synthetic data generation to RAG architectures and cognitive agent platforms, I lead initiatives that bridge research and operations—always with a focus on explainability, traceability, scalability, and responsible AI. + Applied AI | Autonomous Agents | MLOps | LLMs | Strategic Innovation + Full-cycle development | Technical design | Operational deployment + Committed to building solutions that are useful, secure, and sustainable

Experience

  • Hands-On AI Architect & Specialist at INDRA & Viatris & Telefonica & Novartis & JRC
    Feb 2020 - Present · 6 yrs 6 mos

    386 / 5.000 ▪ Implementation of an MLOps solution in the Defense sector. ▪ Definition and creation of training and inference pipelines for radar signal deinterlacing models. ▪ Technical support and coordination for high-performance GPU infrastructures (SuperPOD). ▪ Automatic transcription enhancement using LLMs, natural language processing pipelines, and reinforcement. ▪ Advanced integration of AI solutions with Azure and OpenAI: developed by merging OpenAI and Azure. technologies for sophisticated indexing systems, improving data accessibility and management in AI applications. ▪ Implementation of large-scale language models and deep integration techniques: design and LLM implementation, using Deep Embedding Techniques to optimize processing and analysis of extensive data sets. ▪ Cloud automation for data management: document conversion and indexing using cutting-edge tools such as LlamaIndex, LangChain. ▪ Optimization of Vector Databases (Qdrant, Pgvector, Simple Index Json files...) ▪ Development of Solutions for the Integration and Processing of Multimodal corpus. ▪ NLP and automation of documentation processing in insurance companies ▪ Model development and Advanced Analytics in AWS with SageMaker ▪ Development of Big Data & Analytics architectures in Azure: Data Factory, Data Bricks, Rabbit Queues, Kafka, SCADA, Power BI ▪ Lead strategic Business Intelligence projects from Scratch ▪ Definition of Big Data & Analytics architectures ▪ Model training, parameterization, validation and deployment of Machine Learning models in MS Azure. ▪ Building models and UX with Python, Scikit-Learn, Matplotlib, OpenCV, TensorFlow, Keras, Power BI ▪ Development of Machine Learning algorithms for economically complex research challenges at JRC, European Commission ▫ Economic analysis of R&D in the European territory (Patent Matching) ▫ Development of simulation and prediction models for complex climate change scenarios (SIACES)

  • AI-Driver in Health and Biotechnology at Health Research Centers (IBIS, Univ. Sevilla, Helicon Health Limited UK)
    May 2016 - Present · 10 yrs 3 mos

    ▪ Lead Data Scientist at a global leader in health and nutrition applying bioscience to improve the health of people, animals and the planet. ▪ Engineering Leader at an innovative company seeking to aggregate knowledge across patients, their caregivers, clinicians and researchers through the data. Visual capture the entire cancer history of patients by compiling medical records from all of their oncologists into a single comprehensive platform. ▪ Research collaborator of the Virgen del Rocío University Hospital, Cardiovascular and Respiratory Pathology research group (IBIS): prediction models of states and exacerbations of patients with COPD, clinical research for the determination of new biomarkers, publication of articles on SARS -CoV-2 in impact journals. Multivariate models (Emergency admissions, pollen levels, influenza epidemic data, air quality and economy) ▪ Researcher author on the classification by NIR spectroscopy and determination of Substance P, Hemokinin-1 and NK1-R. Antagonistic effects and disease control. ▪ PhD student in the Research Group in Electronic Technology and Industrial Computing (TIC-150) at the University of Seville, Spain: electrochemical impedance spectroscopy (EIS) applied to humans Identification and measurement of biological substances. ▪ Entity and collaboration agreements: Influenza Surveillance System in Spain of Carlos III Institute of Health (ISCiii), Information and observation of air quality in the European environment Network (Eionet), Information and Statistics Unit of Health Care Health of the Ministry of Health. ▪ Data scientist in machine learning, AI techniques (PCA, K-means, decision trees and NN), and NLP with automatic abstract creation, trend and sentiment analysis in scientific texts

  • Big data & Analytics CoE Lead (Hands-On Lead Data Scientist) at UST Global
    May 2019 - Jan 2020 · 9 mos

    ▪ Big data & Analytics Center of Excellence Lead ▪ Data scientist: Network Traffic monitoring (Predictions, trends and prescriptive actions) ▪ Advanced Analytic Consultant: Customer Service Dashboard solutions and Business Intelligence processes. ▪ Pre-sales activities in Big data & Analytics & Data Science domain. ▪ Digitalization and Advanced Analytics in the Automotive industry. ▪ Watershed Advanced Analytical Digitalization ▪ Attention to the incidents reported by the business areas in the analytical part: delta tables, acquisition, processing. ▪ PoC of the exploitation alternatives of advanced analytical systems. ▪ Training Data analysts and scientists teams.

  • Machine Learning / Artificial Intelligence Lead Engineer (freelance) at Optima Gaming
    Oct 2018 - Dec 2019 · 1 yr 3 mos

    ▪ AI & Big Data strategy planning under AWS and IBM Cloud AI suite. ▪ Leading the definition of AI integration in all OPTIMAMGS processes. ▪ Develop and manage the strategic projects of associated AI and Big Data (Project Manager) from the product conception to its delivery: KYC, Responsible Gambling, Anti-money Laundering. ▪ Design measurable and evaluable proofs of concept to achieve planned strategic objectives. ▪ Analyzing trends in the Sports Betting and Gaming market, in any of its verticals where the integration of artificial intelligence is innovative and effective. ▪ KYC, Responsible Gambling and Anti-Money Laundering models (unsupervised) development: from Data Engineer to Model Deployment.

  • Cloud Developer at Huxley
    Mar 2018 - Dec 2018 · 10 mos

    - Digitalization Tech Lead of the dam security monitoring system (Azure SQL, Streamsets, C #, MS Power BI, MS Power Apps) - Technical consultant and developer of the water quality reporting system: Technical feasibility and development (Azure SQL , Azure Analysis Services, C #, R, Power BI) - Azure Analysis Services multisource dataware house, feeding PowerBI Dashboards. - Azure DevOps