Engineer, builder, lifelong learner

Málaga, SpainRemoteCurrent

Full-stack architecture and generative-AI systems for enterprise clients in insurance, real estate, fintech, leisure, fashion and entertainment.

• Design and implementation of scalable web and mobile applications for high-traffic sectors (leisure, fashion and entertainment): Flutter for cross-platform apps, React/Next.js on the frontend and optimized Flask and FastAPI microservices on the backend.
• Integration of generative-AI and LLM-based solutions (local models and cloud services) for enterprise clients in insurance (Mapfre), real estate and fintech (intelligent invoice management).
• Building AI features with the OpenAI API, Azure AI, ElevenLabs, LiveKit and Telnyx, including prompt engineering and the infrastructure around them.

• Flutter
• React
• Next.js
• Flask
• FastAPI
• Python
• OpenAI API
• Azure AI
• ElevenLabs
• LiveKit
• Telnyx
• Docker
• AWS

Fulda, GermanyHybrid

Full-stack development, testing and DevOps for internal tools and critical industrial systems in an international engineering company.

• Built an internal shift-planning tool that automatically assigns staff to support shifts — from requirements gathering to deployment — with Angular 18, Tailwind CSS and DaisyUI on the frontend, Spring Boot with JPA and PostgreSQL on the backend, and scheduling algorithms that automate resource planning.
• Performed end-to-end and integration testing on critical systems for chemical-recipe and factory management, improving stability and performance.
• Provided DevOps support with Azure DevOps (releases and continuous-deployment pipelines for servers and microservices) and dockerized applications such as the shift-planning tool and the smart-parking system for consistent deployments across environments.

• Angular
• Tailwind CSS
• Spring Boot
• JPA
• PostgreSQL
• Docker
• Azure DevOps
• CI/CD
• Swagger

Fulda, GermanyOn-siteInternship

Computer vision and IoT for smart-city and smart-parking use cases.

• Developed a smart-parking management system (my bachelor's thesis) that detects vehicles in camera images and manages parking areas, so employees can see which spaces are free before driving around looking for one.
• Reached over 90% detection accuracy — higher than existing platforms on the market — and made the system adaptable to other use cases (train-platform management, store-area distribution…) by hot-swapping the object-detection model in real time.
• Set up and configured a network of sensors and IP cameras with The Things Network and FIWARE for different smart-city use cases, plus web dashboards to visualize the data.

• Python
• TensorFlow
• PyTorch
• YOLO
• OpenCV
• Flask
• Express.js
• React
• MQTT
• FIWARE
• The Things Network
• Scrum