Marcus Neo

Marcus Neo has a strong background in machine learning engineering. Marcus started working at Datature in 2019 as a Machine Learning Engineer, where they focused on developing a no-code platform for building neural networks called Nexus. In this role, they implemented custom augmentations within the Tensorflow Training Pipeline, created microservices for data visualization and recommendations, and developed support for multi-GPU evaluations. Marcus also worked on a web app called Portal, which visualizes the performance of neural nets. In 2020, Marcus worked as an Internal Digitalization Intern at DB Schenker, where they focused on robotic process automation. Prior to that, they gained experience in electronics and circuitry as an intern at HOVMAND A/S in 2019. Marcus joined Datature again in 2021 and is currently working as a Machine Learning Engineer, although specific details about their current role are not provided.

Marcus Neo attended Hwa Chong Institution from 2010 to 2015, where they completed their Singapore Cambridge GCE A-Level education. Subsequently, they pursued a Master of Engineering (MEng) degree in Electronic and Information Engineering at Imperial College London from 2018 to 2022.