Carlos Daniel Lopez Rincon
About Carlos Daniel Lopez Rincon
Carlos Daniel Lopez Rincon is a QA Engineer with over a decade of experience in quality assurance and engineering roles. He holds a degree in Industrial Engineering from Universidad Autonoma de Baja California and has worked for notable companies such as Coca-Cola and Clover Technologies Group.
Work at Clover Technologies Group
Carlos Daniel Lopez Rincon has been employed at Clover Technologies Group as a QA Engineer since 2014. He operates in the Mexicali Area, Mexico, where he has accumulated a decade of experience. His role involves ensuring the quality of final products and supporting the production area. He is responsible for overseeing packaging processes to guarantee that products meet quality standards before reaching customers.
Education and Expertise
Carlos studied at Universidad Autonoma de Baja California, where he earned a Licenciatura en Ingenieria Industrial from 2003 to 2008. This educational background has equipped him with the necessary skills and knowledge to excel in quality assurance and engineering roles throughout his career.
Background in Quality Assurance
Carlos has extensive experience in quality assurance, having managed a team of specialized auditors to uphold quality standards within the company. His responsibilities have included overseeing the Material Review Board (MRB) and the receiving area, ensuring that all materials and products meet the required specifications.
Previous Work Experience
Before joining Clover Technologies Group, Carlos worked at Coca-Cola as an Administrativo from 2008 to 2014. He also had a brief tenure at Robert Bosch México in the Commercial Division as an Ingenieria from 2007 to 2008. These roles contributed to his understanding of quality processes and administrative functions in manufacturing environments.
Involvement in Model Transfers
Carlos participated in model transfers, managing the complete process involved. This experience has enhanced his capabilities in handling complex quality assurance tasks and ensuring smooth transitions in production models.