Tyler Foland

Tyler Foland

Data Scientist @ Infinia ML

About Tyler Foland

Tyler Foland is a Data Scientist currently employed at Infinia ML in Durham, North Carolina. He has a strong background in mechanical engineering and computer vision technologies, with experience in software development for sensor fusion applications.

Work at Infinia ML

Tyler Foland has been employed at Infinia ML as a Data Scientist since 2020. In this role, he focuses on applying his knowledge of data analysis and computer vision technologies to develop innovative solutions. His work involves leveraging machine learning techniques to enhance sensor fusion applications, contributing to the company's mission of advancing artificial intelligence.

Education and Expertise

Tyler Foland completed his Bachelor's degree in Mechanical Engineering at North Carolina State University from 2016 to 2020. He furthered his education by obtaining a Master's degree in Mechanical Engineering from the NC State University Graduate School, which he completed in 2021. His academic background is complemented by a strong expertise in computer vision technologies and software development for sensor fusion applications.

Background

Before joining Infinia ML, Tyler Foland gained valuable experience at North Carolina State University. He worked as an Undergraduate Research Assistant from 2018 to 2019, where he contributed to various research projects. Additionally, he served as a Mechanical Engineering Graduate Student from 2020 to 2021. His earlier experience includes a two-year internship at Accident Research Specialists, PLLC, where he worked as a Summer Engineering Intern from 2017 to 2019.

Achievements

Tyler Foland possesses three years of internship experience in a professional engineering environment. His background includes significant contributions to projects involving computer vision technologies and software development for sensor fusion applications. This experience has equipped him with practical skills and knowledge relevant to his current role as a Data Scientist.

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