Amine Ben Khalifa
About Amine Ben Khalifa
Amine Ben Khalifa is a Senior Engineering Manager specializing in Machine Learning at Adobe, with over 10 years of experience in the field. He has previously held positions at Apple and Workday, and he holds a Ph.D. in Computer Engineering and Computer Science from the University of Louisville.
Current Role at Adobe
Amine Ben Khalifa serves as a Senior Engineering Manager in Machine Learning at Adobe. He has held this position since 2022 and is based in the San Francisco Bay Area. In this role, he oversees engineering projects related to machine learning, leveraging his extensive experience in the field.
Previous Experience at Apple
Amine Ben Khalifa worked at Apple in various roles focused on computer vision and machine learning. He served as a Computer Vision & Machine Learning Engineer from 2017 to 2018 and then as a Senior Computer Vision & Machine Learning Engineer from 2018 to 2019. Both positions were located in Cupertino, California.
Work History at Adobe
Before his current role, Amine Ben Khalifa was a Staff Machine Learning Scientist at Adobe from 2020 to 2022. His tenure at Adobe has included significant contributions to machine learning projects, enhancing the company's capabilities in this area.
Educational Background
Amine Ben Khalifa has a strong educational foundation in engineering and computer science. He earned a Ph.D. in Computer Engineering and Computer Science with a focus on Data Mining from the University of Louisville, where he studied from 2011 to 2015. He also holds a Graduate Certificate in Data Mining from the same institution, completed in 2013. Additionally, he obtained a Network Engineering Degree from SUP'COM and an Associate Degree in Math and Physics from a preparatory school for engineering studies.
Expertise in Machine Learning
With over 10 years of experience in machine learning, Amine Ben Khalifa specializes in transforming complex data sets into machine learning models. He emphasizes the importance of data visualization, making complex data understandable and accessible. His work reflects a commitment to advancing the field of machine learning through practical applications and innovative solutions.