Maggie has always been passionate about trying new things and constantly challenging herself. She has a growth mindset and is an optimiser by nature. As a flexible and highly resourceful individual, she loves turning ideas into successful projects.
She has dipped her toes in various industries, from business development and digital marketing at Google to not-for-profit, banking, and more recently LiDAR, autonomous vehicles and quantum technology.
During her Bachelors in Economics in Argentina, Maggie learned to see the world from the lens of mathematics and statistics. She then started teaching herself how to code out of curiosity and went on to do a Masters in Software Development in Australia to further develop her skills. She completed her Masters degree with a research project involving some cute Pepper robots at UTS’ Social Robotics Lab - which won RoboCup’s Home category in 2019. She is also highly interested in Deep and Reinforcement Learning and is considering doing a PhD in Artificial Intelligence sometime in the future.
As a Machine Learning Engineer, she currently researches and implements novel algorithms to solve interesting problems, in both their R&D stage and later on at scale in Production.