As Director of AI at Qualtop, I lead the development and implementation of cutting-edge artificial intelligence solutions that empower businesses to achieve transformative growth. My role bridges technical innovation and strategic business needs, ensuring the delivery of scalable, data-driven solutions across industries such as finance, manufacturing, and healthcare.At Qualtop, I oversee multidisciplinary teams to integrate advanced AI methodologies, including machine learning, predictive analytics, large language models (LLMs), and Retrieval-Augmented Generation (RAG). We design and deploy AI systems that optimize processes, enhance decision-making, and provide actionable insights for our clients.By blending human-centric design principles with state-of-the-art AI, I ensure our solutions are not only robust but also intuitive, adaptable, and impactful. Whether it’s developing intelligent tutoring systems to streamline onboarding processes or creating predictive tools for trend analysis in manufacturing, I am committed to pushing the boundaries of what AI can achieve to solve real-world challenges.

Co-founder and Scientific Advisor at AffectSense, driving innovation at the intersection of technology and human emotion. The company bridges the gap between emotional states and the digital world by leveraging advanced machine learning models.At AffectSense, specializes in developing emotion detection models using Convolutional Neural Networks (CNN) for emotion classification and Recurrent Neural Networks (RNN) to predict emotional states based on physiological data. Focuses on building adaptable, context-aware systems that enhance emotional awareness, improving user well-being across consumer and enterprise applications.Previously led a collaborative research project with Jaguar Land Rover in the UK, analyzing drivers’ physiological data to model stress levels in motorway and city driving environments. Results were featured in a peer-reviewed journal, demonstrating the value of integrating emotion-based AI solutions to address real-world challenges, such as stress detection and management.Delivers tailored solutions across diverse platforms to meet client needs, ensuring technology is both impactful and innovative.

Contributed to interdisciplinary research at the intersection of artificial intelligence, human-computer interaction, and adaptive learning systems, with a focus on real-world applications. Led the design and implementation of machine learning models to analyze user behavior and improve emotional engagement in digital environments.Collaborated with cross-functional teams and industry partners, including a Vancouver-based company, to integrate AI models into scalable platforms hosted on AWS Cloud Infrastructure. Leveraged cloud services to deploy and test adaptive learning systems that utilized real-time physiological and behavioral data to enhance user experiences.This role demonstrated expertise in cloud-based machine learning solutions, emotion recognition technologies, and user-centered AI development, advancing innovative approaches to educational and behavior-driven systems.

Conducted educational research focused on meta-affect, exploring the impact of emotional awareness on students’ learning processes. The role encompasses mentoring fellow researchers, advising and guiding their projects to achieve high-impact publications and fostering their development as published authors.This work aligns with IFE’s mission to generate, transfer, and disseminate knowledge on educational innovation in an experimental, interdisciplinary, and global manner, addressing the future of higher education and lifelong learning.

Full-Time Researcher focused on the affective aspects of learning, investigating the cognitive-affective link that motivates students to engage in and sustain their learning processes.

Assisting in the development and implementation of technologies and solutions. Supporting Qualtop's research efforts by conducting in-depth research, analyzing data, and staying up-to-date with the latest advancements in AI.

Served as a mentor to PhD students, guiding them toward the successful completion of their degrees. Collaborated with Prof. Lizbeth Goodman on various projects and contributed as an external examiner for PhD candidates at the SMARTLab.

Contributed to European and UK research projects in collaboration with Prof. Sara de Freitas. During this period, co-authored a paper with Prof. de Freitas that has achieved significant recognition and multiple citations.

Collaborated with Prof. Ryan Baker on exploring the concept of meta-affect in learning. Initiated joint work on this idea alongside Prof. Ben du Boulay from the University of Sussex.

Collaborated with Prof. Ben du Boulay, who proposed exploring affect through the lens of sports science. This idea inspired the study of meta-affective behavior within tutoring systems, advancing research on emotional awareness and learning processes.

Focused on utilizing virtual worlds and video games to enhance educational activities. Collaborated with Prof. Sara de Freitas to analyze attention modeling using EEG technology. This pioneering work was among the first to leverage off-the-shelf devices, such as NeuroSky, for educational research.

Conducted research on the development of educational technology for children on the autism spectrum. Collaborated with Prof. Kaska Porayska-Pomsta to explore how technology could be employed to monitor attention levels using eye-gazing data, aiming to better understand and support the needs of children with autism.