Tyler Foland
About Tyler Foland
Tyler Foland is a Data Scientist at Infinia ML in Durham, North Carolina, with a Master's degree in Mechanical Engineering from NC State University. He has a solid background in computer vision technologies and software development for sensor fusion applications, complemented by three years of internship experience in engineering roles.
Work at Infinia
Tyler Foland has been employed at Infinia ML as a Data Scientist since 2020. His role involves applying data science techniques to solve complex problems. Infinia ML is located in Durham, North Carolina, and focuses on machine learning solutions. Tyler's work contributes to the development of innovative applications in the field.
Education and Expertise
Tyler Foland studied at NC State University Graduate School, where he earned a Master's degree in Mechanical Engineering from 2020 to 2021. He also completed his Bachelor's degree in Mechanical Engineering at NC State College of Engineering from 2016 to 2020. His academic background equips him with strong analytical skills and a solid foundation in engineering principles.
Background
Before joining Infinia ML, Tyler Foland worked at North Carolina State University in various capacities. He served as a Mechanical Engineering Graduate Student from 2020 to 2021 and as an Undergraduate Research Assistant from 2018 to 2019. His experiences at the university provided him with practical knowledge and research skills in engineering.
Internship Experience
Tyler Foland has accumulated three years of internship experience in a professional engineering environment. Notably, he interned at Accident Research Specialists, PLLC as a Summer Engineering Intern from 2017 to 2019. This experience allowed him to apply his engineering knowledge in real-world scenarios and develop practical skills.
Technical Skills
Tyler Foland possesses expertise in developing software for sensor fusion applications and has a strong background in computer vision technologies. These skills are essential in the field of data science and engineering, enabling him to work on advanced projects that require integration of multiple data sources and visual analysis.