Walid Chaabene

Walid Chaabene is an accomplished Applied Scientist II at Amazon, with a background in computer science, mathematics, and engineering. He has completed his master's degree in both computer science and applied mathematics from Virginia Tech and a bachelor's degree in information and communications technologies engineering from SUP'COM. Walid has also studied physics at Pre-Engineering School. His expertise spans across machine learning, artificial intelligence, and data analysis, making him a valuable asset in the tech industry.

Before joining Amazon, Walid worked with France Telecom R&D and EBSYS as R&D Engineering and Intern, respectively. He gained experience as a Graduate Teaching and Research Assistant at Virginia Tech, where he honed his teaching and research skills. His seamless transition into the Applied Scientist role at Amazon demonstrates his aptitude in the field.

At Amazon, Walid is responsible for shaping and driving research initiatives for improving the customer's experience through machine learning and personalized recommendations. He is a former Machine Learning Scientist Intern and also worked as an Applied Scientist before his current role, indicating his upward trajectory at the company.

In conclusion, Walid Chaabene's journey showcases his versatility and passion for machine learning and artificial intelligence, making him a dynamic professional in the tech industry with invaluable experience, skills and training.