Gustavo de Rosa

概要

I am a Principal Research Software Engineer at Microsoft, working at the intersection of artificial intelligence research and engineering. My work focuses on turning research ideas into practical, scalable solutions, bridging the gap between scientific innovation and real-world applications.

Throughout my career, I have worked across a broad range of AI domains, including machine learning, deep learning, natural language processing, and large language models. I am particularly interested in the engineering challenges behind advancing AI capabilities, from model development and training to evaluation methodologies, experimentation frameworks, and large-scale infrastructure.

I enjoy tackling complex problems that require a combination of research insight, engineering excellence, and a strong understanding of how systems behave at scale. I value open-ended exploration, rigorous experimentation, and building tools and infrastructure that enable researchers and engineers to move faster and push the boundaries of what is possible.

My academic background includes a Ph.D. in Computer Science from Universidade Estadual Paulista (UNESP, 2022), where I focused on natural language processing and adversarial learning. I also hold an M.Sc. in Computer Science (2018), with research spanning image processing, pattern recognition, machine learning, and metaheuristic optimization, and a B.Sc. in Computer Science (2016).

Beyond my professional work, I enjoy sharing knowledge and contributing to the broader machine learning community through educational content and open-source projects.