Javier Martinez
Applied AI Engineer at La Javaness
Paris, Ile-de-France, Spain
Summary
👤
Senior🎓
Top SchoolJavier Martinez is an Applied AI Engineer with 9 years of experience building production-grade AI applications that bridge machine learning, backend systems and product. Based in Paris with roots in Spain and trained at ENSTA, he designs pragmatic, scalable architectures—especially around LLMs, RAG, MLOps and event-driven pipelines—that move teams from prototypes to reliable, user-facing features. He has led fullstack and platform efforts, migrating monoliths to Kubernetes microservices and improving observability and deployment workflows for enterprise and public-sector products. His recent work emphasizes real-time audio processing, centralized AI hub platforms and document analysis at scale, combining FastAPI, async Python and distributed workers. Colleagues value his ability to translate stakeholder needs into maintainable systems that reliably deliver impact beyond experimentation. An uncommon strength is his blended background in fullstack development and research, which helps him anticipate integration challenges early and ship resilient AI systems.
9 years of coding experience
2 years of employment as a software developer
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at ENSTAEngineer's degree Computer Science, Engineer's degree Computer Science at Universidad Nacional Experimental del Táchira
Spanish, English, French
Github Skills (4)
google9
python9
automation8
certificate7
Programming languages (3)
Github contributions (5)
Andvri/IN204-project-tetris
Nov 2019 - Feb 2020
Contributions:98 commits, 1 branch in 3 months
Andvri/Interprete-Thin-Ice
Oct 2019 - Oct 2019
Contributions:29 pushes, 5 branches in 6 days
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