Gautham Giri
About Gautham Giri
Gautham Giri is a Process Engineering Assistant at Amazon Logistics in Toronto, Canada, with a background in Mechanical and Industrial Engineering. He has experience in process optimization and performance improvement from previous roles at Empee Engineers and Renault Nissan Automotive India.
Work at Amazon Logistics
Currently, Gautham Giri serves as a Process Engineering Assistant at Amazon Logistics in Toronto, Ontario, Canada. He has been in this role since 2020. In this position, he has utilized applications such as CORTEX for monitoring drivers and DEXTER for problem-solving. His efforts have led to a significant reduction in the number of packages returned to the station, decreasing from 250 to 45 per day. Gautham has also designed process and workflow layouts that doubled the volume and achieved a 100% dispatch rate.
Previous Experience in Engineering
Before joining Amazon, Gautham Giri worked at Empee Engineers in Chennai, Tamil Nadu, India, as a Junior Manufacturing Engineer from 2018 to 2019. He applied the Gemba technique to identify key performance indicators for drivers and initiated corrective measures. Additionally, he completed internships at ExpertsHub and Renault Nissan Automotive India Pvt Ltd., where he gained practical experience in mechanical engineering and improved operational effectiveness.
Education and Expertise
Gautham Giri holds a Bachelor of Engineering (BE) in Mechanical Engineering from Easwari Engineering College, part of the SRM Group, where he studied from 2014 to 2018. He further advanced his education by obtaining a Master of Engineering (MEng) in Mechanical and Industrial Engineering from Ryerson University, completing this program in 2020. His academic background provides a strong foundation for his engineering expertise.
Achievements in Process Improvement
Throughout his career, Gautham Giri has implemented several process improvements. Notably, he designed a launch pad layout that reduced turnover time for Delivery Service Providers from 15 to 5 minutes. He also performed time and motion studies that enhanced associate effectiveness from 75.3% to 93.6%. His consistent application of area readiness and 5S measures resulted in a 33% reduction in overall cycle time.