Acerca de Manuel Jesús
- Desarrollo e integración de sistemas de Machine Learning en entornos productivos
- Creación de aplicaciones GenAI orientadas a automatización y eficiencia operativa
- Migración y modernización de bases de código y arquitecturas existentes
- Diseño y construcción de sistemas bajo principios TDD, DDD y Clean Architecture
- Liderazgo técnico y mentoría de equipos de desarrollo
- Comunicación clara con perfiles técnicos y de negocio
- Capacidad para transformar requisitos de negocio en soluciones prácticas y escalables
- Enfoque pragmático para resolver problemas en entornos exigentes
- Graduado en Ingeniería del Software – Universidad de Sevilla
- Máster en Inteligencia Artificial – Universidad Alfonso X el Sabio
Inglés
Bilingüe o nativo
Español
Bilingüe o nativo
Experiencia
- BASF Agricultural SolutionsSenior AI Solutions ArchitectQUÍMICAabril de 2025 - Hoy (1 año y 2 meses)Madrid, España• Architected and deployed an end-to-end document intelligence system (using Generative AI and vector search) toautomate complex manual workflows. The architecture transformed unstructured corporate data into structuredassets, significantly reducing processing time and manual entry bottlenecks.• Driving standardization across the organization by developing reusable blueprints, templates, and libraries,drastically reducing time-to-market for AI-driven initiatives from months to weeks.• Orchestrating the full product lifecycle, transforming initial experimental prototypes into scalable production-ready solutions while ensuring seamless handovers and operational continuity.• Enabling data-driven Business Intelligence by architecting systems that transform unstructured data into struc-tured assets for optimized decision-making.• Acting as a technical reference for a global team, driving architectural decisions and providing mentorship todevelopers across Germany, India and Canada.• Translating business requirements into technical roadmaps, presenting progress to stakeholders to ensure align-ment with business goals.
- Reale GroupArtificial Intelligence Engineermayo de 2024 - abril de 2025 (11 meses)Madrid, Spain• Designing and implementing production-ready systems to deploy and consume trained machine learning models following industry best practices such as TDD, DDD and Hexagonal Architecture.• Building, training, and evaluating machine learning models.• Developing the full CI/CD lifecycle for production projects.• Managing corporate Azure Cloud infrastructure.• Maintaining 6+ production projects.• Building Retrieval-Augmented Generation (RAG) applications utilizing both structured and unstructured data.• Investigating graph databases and their application to RAG via knowledge graphs.
- Inbenta Holdings INCPlatform Developerdiciembre de 2021 - mayo de 2024 (2 años y 5 meses)Allen, TX, USA• Conducted technical requirements elicitation for internal products, crafting robust internal APIs for managing processes and proprietary data.• Engineered asynchronous task monitoring systems and a data aggregator API utilizing GraphQL, enhancing data accessibility and efficiency.• Executed back-ends-for-front-end development for both internal and client-facing applications, facilitating seam less user experiences.• Led codebase migrations and implemented dockerization strategies for legacy applications, ensuring modernized and scalable infrastructures.• Developed Nuxt frontend applications for internal and client use.
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Formación
- MSc Artificial IntelligenceUniversidad Alfonso X El Sabio2025MSc
- Bachelor of Software EngineeringUniversidad de Sevilla2023Bachelor of Software Engineering