About Manuel Jesús
- Development and integration of Machine Learning systems in production environments
- Creation of GenAI applications focused on automation and operational efficiency
- Migration and modernization of existing codebases and architectures
- Design and construction of systems under TDD, DDD, and Clean Architecture principles
- Technical leadership and mentorship of development teams
- Clear communication with technical and business profiles
- Ability to transform business requirements into practical and scalable solutions
- Pragmatic approach to problem-solving in demanding environments
- Graduate in Software Engineering – University of Seville
- Master's in Artificial Intelligence – Universidad Alfonso X el Sabio
English
Native or bilingual
Spanish
Native or bilingual
Experience
- BASF Agricultural SolutionsSenior AI Solutions ArchitectCHEMICALApril 2025 - Today (1 year and 2 months)Madrid, Spain• 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 EngineerMay 2024 - April 2025 (11 months)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 DeveloperDecember 2021 - May 2024 (2 years and 5 months)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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Education
- MSc Artificial IntelligenceUniversidad Alfonso X El Sabio2025MSc
- Bachelor of Software EngineeringUniversidad de Sevilla2023Bachelor of Software Engineering