Freelancer profile translated to English.
Back to original languageAbout Eduard
I am aComputer Engineerfrom theUPC(Barcelona), specializing in the design, training, and deployment of Artificial Intelligence systems. My approach combines scientific rigor —awarded withHonorsin my research onDeep Learning— with the technical ability to integrate these solutions into real production environments (AWS).
What can I bring to your project?
- **AI & Deep Learning Model Development**: Advanced experience in unsupervised architectures (LSTM Autoencoders) for anomaly detection and time series analysis.
- **Generative AI Integration**: Implementation of RAG (Retrieval-Augmented Generation) systems and LLM orchestration to automate complex workflows.
- **Scalable Data Architectures**: Design of data pipelines (SQL, InfluxDB) and cloud deployment (AWS), ensuring AI is not only intelligent but also fast and stable.
My education at one of Spain's most demanding engineering faculties, combined with my experience at companies likeWallboxand **NIMA**, allows me to speak both the language of data and business. I am a resilient person (rugby player in Division 2B), accustomed to working under pressure and in multidisciplinary teams.
Catalan
Native or bilingual
Spanish
Native or bilingual
English
Fluent
Italian
Basic
Can work on-site
Barcelona (up to 50km)
Experience
- NIMASoftware EngineerCONSULTING AND AUDITSJuly 2025 - November 2025 (4 months)Barcelona, Spain
- AI Deployment: Design and integration of AI models and APIs to create intelligent, data-driven solutions that deliver direct value to the end customer.
- Cloud & Scalability: Development of end-to-end AI-powered features, from prototyping to production, using AWS to ensure reliability and scalability.
- Software Engineering: Implementation of CI/CD, testing, and clean architecture to support rapid iteration of complex products.
- Wallbox ChargersOperating Systems InternAUTOMOBILEFebruary 2024 - December 2024 (10 months)Barcelona, Spain
- Data-Driven Development: Development and optimization of the production plant's ERP, improving the capture and analysis of critical operational data.
- Process Efficiency: Implementation of logical improvements in maintenance software, increasing plant productivity through workflow automation.
- Collaboration: Work in multidisciplinary teams to optimize industrial processes and improve operational efficiency based on performance metrics.
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Education
- Degree in Computer EngineeringUniversitat Politècnica de Catalunya (UPC) - EPSEVG2025Grado en Ingeniería Informática
- Scientific BaccalaureateEscoles Pérez Iborra2020Bachillerato Científico