I am a final-year Computer Engineering student at Universidad Politécnica de Madrid with a strong passion for both technology and sports. Having played handball since the age of six, I transitioned into coaching at 16, which has allowed me to develop essential leadership and team management skills. As a certified handball coach since 2020, I've led teams of 10-20 players in competitive environments, including serving as Performance Analyst for the Women's Silver Premier Division. My coaching experience has focused on fostering collaboration, communication, and conflict resolution in high-pressure situations, while developing the resilience and adaptability required for success in dynamic, fast-paced settings.
My international academic experience includes studying Comuter Engineeere at Universidad Politécnica de Madrid (2021-2026) with Computer Science at Trinity College Dublin (2024-2025) and completing specialized AI and Machine Learning summer courses at Riga Technical University and Belgrade University. This diverse educational background has provided me with a global perspective on technology and innovation, complemented by my ongoing Commercial Strategies Certifiate at UNED, which adds valuable business acumen to my technical expertise.
In the professional realm, I gained invaluable industry experience as a Software Engineer Intern at Microsoft Ireland (June-September 2025), working on Identity & Network Access within Microsoft Security. During this internship, I built asynchronous and scalable secure solutions while collaborating with distributed teams across US and international offices. I enhanced team productivity by implementing custom AI coding agents using Roo and Cline modes with MCP tools, demonstrating my ability to leverage cutting-edge AI technologies for practical applications. I actively engaged in hackathons, mentorship programs, and technical sessions, further developing my collaborative and problem-solving skills.
As an Independent Researcher and Data Sports Analyst since December 2023, I have developed sophisticated web scraping tools and applied Big Data and Machine Learning techniques to extract, analyze, and visualize complex sports data. I built a comprehensive full-stack ecosystem using Flutter, Python, and React for real-time handball analysis, showcasing my proficiency across multiple programming languages and frameworks. My collaboration with the UPM Department of Sports Science on research papers has allowed me to bridge the gap between academic research and practical application, presenting findings on how data science can revolutionize athletic performance analysis.
My role as Communications Sport Club Manager since 2022 has further strengthened my leadership capabilities, where I developed comprehensive internal and external communication strategies. This work earned recognition as the Best Communications Team by the Madrid Handball Federation, highlighting my ability to excel in both technical and communication-focused roles.
My technical expertise spans software development (REST API design, Flutter, Android Studio, Unity, .NET, and asynchronous programming), AI agents and MCP tools for coding automation, and machine learning with computer vision applications. I have demonstrated proficiency in Python, React, and various modern development frameworks, consistently applying these skills to solve real-world problems.
I continuously strive to expand my skill set through international certifications, programming competitions, and hackathons, where I've developed a talent for solving complex problems under tight deadlines. My multilingual abilities (native Spanish, advanced English, and basic French) enable me to work effectively in international environments. Whether through team leadership on the handball court, innovative software development at Microsoft, or in-depth data analysis projects, I thrive on challenges that push the boundaries of both my technical knowledge and leadership capabilities, always seeking opportunities for professional and personal growth.