A software engineer with a strong focus on Machine Learning Research and Full Stack Web Development, this professional possesses robust expertise in artificial intelligence and quality assurance. Currently serving as a Research Associate, the work involves advancing capabilities in Generative AI, particularly in the synthesis of lifelike virtual avatars using cutting-edge technologies such as Python, PyTorch, and Generative Adversarial Networks. Previous experience includes a role as a Full Stack Developer, where proficiency in Ruby on Rails and Vue.js was harnessed to create user-centric applications following agile methodologies. The candidate has also demonstrated a solid foundation in quality assurance through automating tests across various platforms, employing BDD methodologies and advanced testing tools. With a background in Electrical and Computer Engineering, and a commitment to continuous learning evidenced by ongoing education in Artificial Intelligence, this candidate is passionate about leveraging technical skills to address complex real-world problems.