Pablo Escudero is a software analyst and developer based in Madrid with a decade of experience building high-performance, data-sensitive applications. He earned a B.S. in Computer Science from Universidad Carlos III de Madrid, specializing in Artificial Intelligence, and contributed to a multi-agent, real-time system using a blackboard design atop Oracle databases during his time as a Research Assistant. In industry, he has designed and optimized real-time price engines and scalable architectures across roles at ISBAN, Apolo IT, and Comunytek, emphasizing low latency and robust error handling. Since 2018 he has been an Analyst and Developer Software at Comunytek, continuing to expand in areas spanning Java SE (J2SE), Oracle, and broader CS topics. His background blends academic research in intelligent systems with practical software delivery in financial and critical environments, underscoring a strength in translating complex requirements into reliable, scalable solutions. He also holds a Master’s degree in Computer Technologies applied to the Financial Markets, reinforcing his focus on performance and finance-oriented software.
10 years of coding experience
9 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
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