Isabella Cruz

About

Isabella Cruz is an AI Engineer and Researcher at Source, where she focuses on developing advanced machine learning models and applied research that power the company’s automation solutions. With a background that blends computer science, cognitive systems, and product innovation, Isabella’s work sits at the intersection of research and real-world deployment — ensuring that every AI capability Source builds is both cutting-edge and practical.

Before joining Source, Isabella worked at an innovation lab in New York, where she led research on natural language understanding and human–AI interaction. Her projects ranged from conversational AI prototypes to adaptive learning systems designed for enterprise use. Her ability to translate complex AI concepts into clear, usable technology quickly caught the attention of automation firms across the globe.

At Source, Isabella contributes to the design and optimization of models used across client workflows — from intelligent document processing to predictive operations. She collaborates closely with the engineering and product teams, ensuring that Source’s automation tools are not only efficient but contextually intelligent.

Isabella holds a Master’s degree in Artificial Intelligence from Columbia University and a Bachelor’s in Computer Engineering from the University of São Paulo. She has published papers in AI ethics and applied NLP, and frequently speaks at industry events about the role of transparency and interpretability in automation systems.

Beyond her research, Isabella is passionate about ethical AI and serves as a mentor for young women pursuing careers in technology. In her free time, she enjoys modern art, exploring new cities, and teaching herself new programming languages “just for fun.”