Alireza Golkarieh
About Alireza Golkarieh
Alireza Golkarieh is a data scientist and machine learning engineer with a diverse background in architecture and engineering. He has held various roles at institutions such as the University of Michigan and currently works at May Mobility.
Current Role at May Mobility
Alireza Golkarieh currently serves as a Data Scientist and Machine Learning Engineer at May Mobility. He has been in this role since 2021, contributing to the development of advanced data-driven solutions in the field of autonomous mobility. His expertise in machine learning and data analysis supports the company's mission to enhance transportation systems.
Previous Experience in Data Science and Engineering
Before joining May Mobility, Alireza Golkarieh held various positions in data science and engineering. He worked as a Deep Learning Research Assistant at the Michigan Institute for Data Science (MIDAS) for four months in 2020. He also served as an Algorithm Engineer at Invisible AI for three months in the same year. His experience includes a year as a Data Analyst at Taubman College of Architecture + Urban Planning at the University of Michigan.
Educational Background in Engineering and Architecture
Alireza Golkarieh has a solid educational foundation in engineering and architecture. He earned a Bachelor of Engineering in Architectural Engineering from Yazd University from 2007 to 2011. He furthered his studies at the University of Michigan, obtaining a Master of Engineering in Systems Engineering and a Master of Architecture (M.Arch.) from 2014 to 2016. Additionally, he completed a Master of Science in Engineering with a focus on Mechatronics & Robotics and a minor in Computer Science from 2017 to 2020.
Internship Experience at University of Michigan
During his academic career, Alireza Golkarieh gained valuable experience through multiple internships at the University of Michigan. He worked as a Software Engineer Intern at the Ross School of Business from 2016 to 2018 and at the Space Engineering Department in 2019. He also served as a +LAB Fellow at the Ross School of Business for three years, contributing to various projects and initiatives.
Research Experience in Deep Learning
Alireza Golkarieh has been involved in deep learning research since 2020, currently serving as a Deep Learning Researcher at the University of Michigan - Rackham Graduate School. His research focuses on applying deep learning techniques to solve complex problems, enhancing his contributions to the field of data science and machine learning.