Daniel Azaña is an AI-powered cloud architect and Linux veteran with over 20 years of infrastructure experience and eight years of modern software and cloud-focused practice, currently blending AWS architecture, Rust and Python development, and LLM integration. He designs cost-optimized, serverless and containerized systems, builds AI-driven automation and autonomous agents with LangChain, n8n and custom tooling, and implements high-performance services in Rust (Leptos, Axum, Tokio) alongside FastAPI backends. His background spans mission-critical enterprise security and PKI at Telefónica and Sun Microsystems to founding a tech consultancy, giving him rare depth in production-grade reliability, observability and security. He also specializes in FinTech: algorithmic trading, options analysis and real-time market data pipelines implemented in Rust. Comfortable operating as a hands-on architect or freelance contributor, he pairs low-level Linux and SRE instincts with modern IaC, DevSecOps and prompt-engineering skills to turn manual workflows into intelligent, auditable systems.
8 years of coding experience
8 years of employment as a software developer
B.Eng. (Telecommunications) Telematics, B.Eng. (Telecommunications) Telematics at Universidad de Alcalá
A Rust client for the REST and Streaming APIs from IG.com.
Contributions:1 release, 1 PR, 51 pushes in 10 months
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