I received a PhD in Computer Science in Dec. 2016. I work with Computer Vision, Natural Language Processing and Large Language Models. Specifically, I am interested in developing end-to-end learning architectures to jointly detect fine-grained attributes on both images and language. I’ve worked for various organizations to leverage AI to grow. At Greyparrot.ai, I helped develop an object recognition system for the waste industry, to help them recover all valuable materials, drive insights and avoid waste going to landfill. Previously, I founded a startup called Macty, where we empowered retailers to leverage visual search for their end users, both online and in the stores. I worked for NASA Frontier Development Lab as an Artificial Intelligence Researcher to automatically search for long-period comets that might impact Earth. In the summer of 2015, I conducted an internship at Microsoft Research in Cambridge, where I focused on machine learning for optimizing environments for large scale software development. Before my PhD, I obtained two Masters degrees, one in Mechanical Engineering, where my research focused on human-robot interaction technologies, and one in Mathematical Physics, where I focused on gravitational fluctuations in Domain Wall Spacetimes. In 2014, I was awarded a Google Anita Borg Scholarship, a prestigious award for demonstrating outstanding academic achievement, leadership and community involvement.