Summary
Salvador Muñoz is a Backend Engineer with 13 years of experience blending academic rigor (PhD) and hands-on production Python development across AI/ML, NLP, RPA and data engineering. He has led backend and architecture work for high-throughput systems — most recently building Python microservices for Mercadona Tech’s online grocery platform — and has deep experience designing concurrent, cloud-native solutions on AWS and GCP. His background in formal methods and program transformation informs a disciplined approach to testing, debugging, and maintainable designs (DDD, hexagonal architecture, TDD). Salvador moves comfortably between research and product: past postdoctoral work produced program-analysis tools and publications, while recent roles focused on scaling real-world delivery and logistics features. He brings uncommon expertise in automated data normalization, compiler-like transformations and concurrency problems, which he applies to practical problems like order flows and task orchestration. Based in Valencia, he combines cross-functional pair programming and XP practices with an eye for long-term architectural quality.
13 years of coding experience
17 years of employment as a software developer
Universitat Politècnica de València
English, Spanish, Catalan