Summary
Javier Advani is a low-code and AI-focused architect with 8 years of experience designing and scaling Appian solutions across EMEA, currently advising European clients on enterprise low-code strategy and implementations. His background spans RPA (UiPath, Blue Prism), web and IoT development, and early computer vision work—bringing a rare blend of hands-on automation, signal-processing education, and systems-level thinking. Trained in telecommunications, signal processing and AI across universities in Spain and Germany, he pairs formal academic depth with practical delivery in complex, constrained environments. Known for turning vision into actionable platforms, he often leads migrations and scalability efforts that reconcile rapid low-code delivery with long-term architectural health.
8 years of coding experience
2 years of employment as a software developer
University of Seville
Elektrotechnik (Electronic Engineering), Nachrichtentechnik und Akustik (Communications, Signal Processing and Acoustics), Elektrotechnik (Electronic Engineering), Nachrichtentechnik und Akustik (Communications, Signal Processing and Acoustics) at Technische Universität Dresden
Communications Engineering, Image and Sound Signal Processing, Communication Sistems, Communications Engineering, Image and Sound Signal Processing, Communication Sistems at Universidad de Vigo
UOC (Universitat Oberta de Catalunya)
French, Galician, English, German, Spanish