Adrián Romero-Flores

PhD Student, University of Seville

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aromero17@us.es

CV

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education
[ year ] — [ degree ], institution
experience
May 2024 - Present
Technical Research Staff, University of Seville
Seville

Research in two main areas: prescriptive process monitoring, using deep learning to develop advanced monitoring systems, and quantum software engineering, exploring how quantum computing principles can inform new methodologies and tools.

Dec 2022 - Feb 2024
IT Technician, Edison Next Spain
Seville

Developed web applications, including an inventory management system for the City Council of Seville and a web services portal integrating company and Microsoft services. Built low-code solutions and automation scripts using Docker, Node.js, React, Azure, and Power Automate.

awards & honors
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skills
Languages: Python, Java, TypeScript, Rust, SQL
Frameworks: Astro, Next.js, Nest.js, React, Vue
Research infrastructure: Docker, Git, Azure, AWS
Document preparation: LaTeX, Markdown, Docusaurus
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