• Collaborated within a multidisciplinary team, contributing to the creation of three 2D video games designed to support the recovery of pediatric patients.• Utilized Unity and Unreal Engine. Implemented scriptable objects and events in Unity, enhancing game functionality and interaction. Gained valuable experience in C# programming.• Engaged directly with clinicians and collaborated closely with medical professionals to adapt game features to individual rehabilitation needs tailoring experiences for optimal rehabilitation outcomes. These enhancements lead to improvements in patient engagement, with patients spending more time on the games.• Documented development processes comprehensively, incorporating design choices, code implementation, and iterative improvements based on feedback.• Actively researching new technologies to enhance the field of video game rehabilitation and experimenting new practices for future projects related to healthcare.

• Analyzed a vast dataset of 60 million video game reviews from online stores, applying NLP and machine learning models like LDA and random forest to derive insightful descriptive statistics.• Produced a comprehensive analytical report, with a key focus on developing algorithms to designate game reviews as "featured," meticulously examining trends to enhance user engagement.• Established a robust SQL database on an Ubuntu server, optimizing data management using the PyMySql connector and achieving an impressive 20% boost in query efficiency.• Collaborated effectively within a dynamic team of four, specializing in video game test automation and harnessing the power of large language models, leading to a remarkable 60% enhancement in language model accuracy.