Anil Kumar Sharma
About Anil Kumar Sharma
Anil Kumar Sharma is an Engineer in the PI Division at Mettler-Toledo International, Inc, where he has worked since 2012. He has a background in Electronics and Communication Engineering, holding a Bachelor of Technology and a Diploma in the field, and previously worked as a Sales and Service Engineer at JAY INSTRUMENTS AND SYSTEMS PRIVATE LIMITED.
Work at Mettler-Toledo International
Anil Kumar Sharma has been employed at Mettler-Toledo International, Inc. since 2012, serving as an Engineer in the PI Division. His role involves responsibilities related to the Industrial division, where he focuses on enhancing operational efficiency. His tenure at Mettler-Toledo spans over 12 years, during which he has contributed to various projects aimed at improving processes within the organization.
Previous Experience at JAY INSTRUMENTS AND SYSTEMS PRIVATE LIMITED
Before joining Mettler-Toledo, Anil Kumar Sharma worked as a Sales and Service Engineer at JAY INSTRUMENTS AND SYSTEMS PRIVATE LIMITED from 2010 to 2012. His work was based in the Delhi Area, India, where he gained valuable experience in sales and service within the engineering sector. This two-year role provided him with foundational skills that he has applied in his subsequent positions.
Education and Expertise
Anil Kumar Sharma holds a Bachelor of Technology (BTech) degree in Electronics and Communication Engineering (ECE) from IEET, Baddi, HP University, Shimla, H.P., which he completed from 2006 to 2009. He also earned a Diploma in ECE from the Technical Institute of Gurukul, where he studied from 2002 to 2005. His educational background equips him with the technical knowledge necessary for his engineering roles.
Involvement in Transport & Logistics Sector
In addition to his engineering responsibilities, Anil Kumar Sharma is involved in the Transport & Logistics sector. He contributes to the optimization of supply chain processes, applying his engineering expertise to enhance operational workflows. His work in this area supports the overall efficiency of logistics operations.