Javier De La Rosa is an AI engineer and researcher pursuing a Master’s degree in Artificial Intelligence at The University of Texas at San Antonio. He has extensive experience in architecting agentic systems powered by LLMs to automate complex workflows and solve challenging problems. His current research focuses on advancing the core technologies of agentic systems to increase their capabilities and reliability. His professional experience spans from architecting secure, scalable AI platforms to building APIs and mobile apps with the latest AI technologies. He also contributes to open-source projects by updating them with state-of-the-art technologies, bridging the gap between research theory and practical solutions.
Javier De La Rosa is an AI engineer and researcher pursuing a Master’s degree in Artificial Intelligence at The University of Texas at San Antonio. He has extensive experience in architecting agentic systems powered by LLMs to automate complex workflows and solve challenging problems. His current research focuses on advancing the core technologies of agentic systems to increase their capabilities and reliability. His professional experience spans from architecting secure, scalable AI platforms to building APIs and mobile apps with the latest AI technologies. He also contributes to open-source projects by updating them with state-of-the-art technologies, bridging the gap between research theory and practical solutions.
