Javier Martinez

AI Solutions Architect Full-Stack Engineer (Contractor) at Independent Professional

Oviedo, Asturias, Spain
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Summary

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Rockstar
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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.
code10 years of coding experience
job2 years of employment as a software developer
bookComputing Engineering Ingeniería informática, Computing Engineering Ingeniería informática at Universitat d'Alacant
bookMaster of Computer Applications (MCA) Informática, Master of Computer Applications (MCA) Informática at Universidad de Murcia
languagesSpanish, English, Spanish
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Github Skills (23)

summarization10
python10
ai10
ollama10
llama-index10
back-end-development9
configuration-management9
huggingface9
backend9
gradio9
uid8
front-end-development8
vector-database8
ui-design8
postgresql7

Programming languages (9)

TypeScriptMDXC#JavaRustJavaScriptGoHTML

Github contributions (5)

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zylon-ai/private-gpt

Mar 2024 - Jul 2026

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:
userFull-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.
aiinferenceopenaisqlai-tools
jaluma/jaluma

Jul 2020 - Jul 2026

Contributions:17 pushes, 2 branches in 6 years
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