Naman Gohil
About Naman Gohil
Naman Gohil is a Controls Engineer at Faurecia in Louisville, Kentucky, with a strong background in quality assurance in the electrical and automotive manufacturing sectors. He holds a Bachelor's and a Master's degree in Electrical and Electronics Engineering and has experience in designing Human-Machine Interfaces.
Work at Faurecia
Naman Gohil has been employed at Faurecia as a Controls Engineer since 2020. He is based in Louisville, Kentucky, where he has worked for four years. His role involves designing and implementing control systems, contributing to the company's initiatives in the automotive manufacturing sector.
Previous Experience
Prior to his current position, Naman Gohil worked at Faurecia as a TPM Engineer from 2017 to 2020 for three years in the Louisville, Kentucky Area. He also served as a Project Engineer at Cotmac Electronics Inc. for six months in 2017 in the Greater Detroit Area. His earlier experience includes a role as an Electrical Test Engineer at SVTRONICS from 2016 to 2017 and as a Technical Support Assistant at the Office of Community Engagement, IUPUI from 2015 to 2016.
Education and Expertise
Naman Gohil holds a Bachelor's degree in Electrical and Electronics Engineering from Nirma Institute of Technology, which he completed from 2010 to 2014. He further advanced his education by obtaining a Master's degree in the same field from Purdue School of Engineering and Technology in 2016. He possesses expertise in programming languages such as C, LabVIEW, and Java.
Background in Quality Assurance
Naman Gohil has a robust background in quality assurance within the electrical and automotive manufacturing industries. His experience includes ensuring compliance with industry standards and improving product quality through effective testing and validation processes.
Human-Machine Interface Design Skills
Naman Gohil has strong skills in designing and implementing Human-Machine Interfaces (HMI). His expertise in this area supports the development of user-friendly systems that enhance interaction between operators and machinery in manufacturing environments.