About

Vahid Mardanlou is an Applied Machine Learning Scientist at Amazon, with over 5 years of relevant experience in the field. He received his Ph.D. in Electrical Engineering from the University of California Riverside, where he focused on deriving mathematical models for biological networks. Vahid has worked with several companies in the past, including Acorns and Bird, where he has contributed to various projects. At Acorns, he worked on income recognition and employer identification from banking transactions, which helped the company to easily switch users' direct deposits into the Acorns Debit account. He also built a transaction classification model to understand users' spending behaviors. At Bird, Vahid worked on a variety of projects focused on rider behavior, including building a second ride prediction model to optimize couponing strategy and a sidewalk riding detection model using rider's phone sensor data. Vahid has experience in building end-to-end data pipelines from acquiring data to model deployment and inference. He has worked closely with product, marketing, and engineering teams to deliver the product in his projects. Vahid's education history includes a Ph.D. in Electrical Engineering from the University of California Riverside, an MS in Electrical Engineering from K.N. Toosi University of Technology, and a B.Sc. in Electrical Engineering, also from K.N. Toosi University of Technology. His tech stack includes skills in research science, machine learning, and data science. Vahid's relevant experience in the field is 5.78 years.