Career Journey

Developed interface simulations using Python and OpenAI Gym. Applied RL to improve UI adaptation. Delivered a prototype showing improved adaptation via reward modelling.

Almost completed a PhD in Computer Science focused on applying Reinforcement Learning (RL) to Adaptive User Interfaces (AUIs). The research explored how RL techniques can be used to make user interfaces intelligent and adaptive, optimizing interaction strategies to improve user experience (UX). The work combined artificial intelligence, human–computer interaction, and experimental evaluation to design data-driven, adaptive systems.

Served as a Teaching Assistant at the Universitat Politècnica de València for three academic years, delivering hands-on practical sessions in Software Quality. Taught students how to design and apply software quality models, evaluate quality attributes, and follow best practices in software engineering. Consistently received student satisfaction scores above 9/10 across all years, reflecting strong teaching effectiveness, clarity, and engagement.

Led and contributed to a winning team (Gromep) in the Autonomous Driving Challenge 2021, achieving 1st place among all competitors. Designed, implemented, and optimized autonomous driving algorithms, including perception, decision-making, and control systems, under real-time and competitive constraints. Demonstrated strong teamwork, problem-solving skills, and the ability to deliver robust autonomous solutions in a high-pressure environment.

Worked as a Predoctoral Researcher at ITI under a full-time research contract while pursuing a PhD in Computer Science. Conducted applied research on Reinforcement Learning for Adaptive User Interfaces, combining artificial intelligence techniques with UX evaluation. Contributed to research projects, experimental studies, and scientific dissemination.

Completed a Master’s Degree in Software Systems Engineering and Technology, focusing on the design, analysis, and validation of complex software systems. Developed advanced skills in software architecture, quality assurance, and system-level engineering, with an emphasis on robust, scalable, and high-quality software solutions.

Conducted biometric studies using EEG to analyze user experience (UX). Performed data analysis and processing using Python and R, extracting meaningful insights from physiological signals. Contributed to scientific publications and supported the development of adaptive UX strategies based on experimental results.

Worked as a Full-Stack Developer in the e-commerce domain, developing and customizing Odoo modules and PrestaShop solutions. Designed and implemented a custom integration bridge between Odoo and PrestaShop, enabling seamless synchronization of data and business processes. Contributed to improving system interoperability, reliability, and maintainability across platforms.

Achieved 1st place in the CEABOT Robotics Competition in three consecutive editions (2017, 2018, and 2019). Developed and programmed humanoid robotic systems featuring multiple interaction and control modes, including voice control, Kinect-based interaction, and fully autonomous behaviors. The work involved integrating perception, decision-making, and control to enable robust and interactive robotic performance in competitive environments.

Graduated in Computer Engineering with a specialization in Computer Engineering (Hardware). Received academic excellence awards every year of the program, reflecting consistent top performance. Awarded Best Final Degree Project for outstanding technical quality, innovation, and execution.