About Javier
Ingeniero especializado en IA y NLP con más de 5 años de experiencia en el sector tecnológico multilingüe. Mi foco es transformar datos complejos en soluciones automatizadas mediante Python. He optimizado infraestructuras y desplegado modelos de IA para empresas internacionales como Playrix y FOREO.
Mi espectro de habilidades incluye: desarrollo avanzado en Python, arquitecturas RAG (Retrieval-Augmented Generation), implementación de LLMs y procesamiento de grandes volúmenes de datos. También estoy especializándome en el despliegue en la nube (AWS) y la contenedorización con Docker. Si buscas automatizar flujos de trabajo inteligentes o implementar IA en tu producto, puedo ayudarte a hacerlo realidad de forma escalable.
Spanish
Native or bilingual
Catalan
Native or bilingual
English
Fluent
Italian
Basic
Japanese
Basic
Remote only
Primarily works remotely
Experience
- FOREOAI/ML Engineering internshipSeptember 2025 - February 2026 (5 months)• • Testing multiple language models in a prototype with MT metrics and comparing elapsed times and latency• • Improving scores by aligning the corpus• • Trying different sampling methods numbers• • Adding Multimodal models for audio, video and images to the application• • Building an MVP and deploying it in HuggingFace• • Improving efficiency and scores with RAG to also preserve tone and style• • Learning how to deploy it with Google Kubernetes Engine
- PlayrixLocalization EngineerSeptember 2024 - July 2025 (10 months)• • Leading the migration to the memoQ Cloud TMS and its management• • Ensuring all integrations work properly (API connections and MT plugins)• • Troubleshooting• • Training my colleagues on CAT tools features• • Documenting and updating the Knowledge Base
- TransPerfectLocalization EngineerNovember 2019 - March 2024 (4 years and 4 months)Barcelona, Spain• • Preparation of files from multiple formats, usually exported from web apps (XML, JSON, PO, XLF, HTML, XLSX, and so on), using custom RegEx parsers• • Post-processing of translated bilingual files and the technical QA prior to delivery• • TM management, and MT and TTS technologies usage• • Quoting files from the aforementioned types• • Creation of my own BAT files and Python scripts in order to automate recurrent tasks during format management
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Education
- Master's Degree in Data ScienceMaster's Degree in Data Science
- Intermediate Python SQL Fundamentals Python Data Structures Large Language Models: Text Classification for NLP using BERT Python Programming FundamentalsIntermediate Python SQL Fundamentals Python Data Structures Large Language Models: Text Classification for NLP using BERT Python Programming Fundamentals