Reda Yacouby
About Reda Yacouby
Reda Yacouby is a Machine Learning Engineer with a background in Natural Language Understanding and experience at Amazon and Liftoff Mobile. He has worked in both the United States and Europe, holding various roles in data science and software engineering.
Work at Liftoff Mobile
Reda Yacouby has been employed at Liftoff Mobile as a Machine Learning Engineer since 2022. His role involves applying machine learning techniques to enhance mobile marketing solutions. Based in Cambridge, Massachusetts, he contributes to the development of algorithms that optimize user engagement and improve advertising effectiveness.
Previous Experience at Amazon
Prior to joining Liftoff Mobile, Reda Yacouby worked at Amazon from 2017 to 2022 as a Research Scientist in Alexa AI. During his five-year tenure in Cambridge, Massachusetts, he focused on projects related to Natural Language Understanding (NLU). He also held a Software Development Engineer Intern position at Amazon in 2014 for five months in Seattle, Washington.
Internship Experience
Reda Yacouby has gained valuable experience through various internships. He worked as a Data Science intern at Fidelity Investments for two months in 2016 in Boston. Additionally, he held a Software Engineer Intern position at FactSet Research Systems for five months in 2013 in Paris, France. These roles provided him with practical skills in data analysis and software development.
Education and Expertise
Reda Yacouby holds a Master’s Degree in Business Analytics from Bentley University, which he completed from 2015 to 2016. He also earned a Master’s Degree in Computer Science from Université de Technologie de Compiègne, studying from 2009 to 2014. His educational background includes participation in an Erasmus exchange program at Högskolan Dalarna in 2011 and an exchange semester in Computer Science at the University of Texas at Brownsville in 2013.
Natural Language Understanding Expertise
Reda Yacouby has developed expertise in Natural Language Understanding (NLU) over five years of industry experience. His work in this area has been primarily focused on enhancing conversational AI systems, particularly during his time at Amazon, where he contributed to the Alexa AI projects.