Quinten Roets

Quinten Roets is a proficient Machine Learning Engineer currently at Apple, with prior experience at Flawless, where significant contributions included training advanced models for face tracking and creating an automated core product pipeline that drastically improved project timelines. Roets has also held academic positions, including a Graduate Research Assistant role at Columbia University, where innovative methodologies for black-box neural network parameter recovery were developed, resulting in a manuscript under review for publication. Previous roles as an NLP Research Engineer and Master Thesis Student involved optimizing machine learning frameworks and deploying systems that achieved exceptional performance in various applications. Educationally, Roets holds a Master’s degree in Computer Science from Columbia University and completed two degrees at Ghent University, culminating in a Bachelor’s degree in Computer Science Engineering.