AI Solutions Architect Full-Stack Engineer (Contractor) at Independent Professional
Oviedo, Asturias, Spain
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Summary
🤩
Rockstar
🎓
Top School
Javier Martinez is an AI Solutions Architect and full-stack engineer with 10 years of experience building production-grade, resilient AI systems from prototype to scale. Based in Oviedo, Spain, he designs provider-agnostic end-to-end architectures (Hexagonal) and has engineered high-performance hybrid RAG search, semantic model routing, distributed circuit-breakers, and self-correcting learning loops for real-world deployments. He couples strong DevOps and FinOps sensibilities—CI/CD, mutation testing, and SOC2-minded PII scrubbing—with hands-on implementation, contributing across frontend and backend code (notably to a private-GPT project integrating Ollama/Hugging Face models and summarization features). Previously he founded and scaled EdTech products with data-driven growth and automation, and earlier roles cover RPA-driven logistics automation and full-stack .NET/web development. Known for pragmatic architectural rigor, he blends deep systems thinking with an appetite for refining ML systems in production.
Complete API layer for private AI applications on local models: RAG, skills, tools, MCP, text-to-sql, and more. Works with any OpenAI-compatible inference server.
Role in this project:
Full-stack Developer
Contributions:64 reviews, 57 PRs, 115 pushes in 2 years 4 months
Contributions summary:Javier contributed to both the backend and frontend of the project, addressing a variety of issues and implementing new features. They made changes to the vector store implementation, updated configuration settings, and added functionality to the UI, indicating a broad understanding of the project's architecture. A significant portion of their work involved integrating and configuring various LLM models, including Ollama and Hugging Face models, as well as adding a summarization feature. They also updated dependencies and refactored code for improved maintainability.
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