Suganesh Raja

Suganesh Raja

Quality Engineer @ Farasis Energy

About Suganesh Raja

Suganesh Raja is a Quality Engineer currently employed at Farasis Energy, with a background in system engineering and production planning at EU Platform UG. He holds a Master of Science in Management and Engineering in Production Systems from RWTH Aachen University and has experience in delivering testing solutions for automotive products.

Work at Farasis Energy

Suganesh Raja has been employed at Farasis Energy as a Quality Engineer since 2022. In this role, he focuses on ensuring product quality and compliance with industry standards. His responsibilities include overseeing quality assurance processes and collaborating with cross-functional teams to enhance product reliability.

Previous Experience at EU Platform UG

Before joining Farasis Energy, Suganesh Raja worked at EU Platform UG in various roles from 2018 to 2022. He served as a Quality Engineer for three years, where he managed cross-functional teams and implemented agile methodologies. He also held positions as a Production Planning Intern and completed his Master Thesis Project during his tenure.

Academic Background

Suganesh Raja studied at RWTH Aachen University, where he earned a Master of Science (M.Sc.) in Management and Engineering in Production Systems from 2015 to 2019. Prior to that, he completed his Bachelor of Engineering (B.E.) in Mechanical Engineering at Anna University from 2010 to 2014.

Experience in Automotive Industry

Suganesh Raja has significant experience in the automotive sector. He worked at Hyundai Motor India Ltd. for three months in 2014, where he completed his Bachelor Thesis. Additionally, he delivered 'testing as a service' solutions for cyber-security enabled products to an automotive Tier-1 supplier during his career.

Project Management and Leadership Skills

In his roles, Suganesh Raja has successfully managed cross-functional teams and played a key role as a product owner. He contributed to the development of a tool that meets quality management standards for identifying nonconformity in Advanced Driver Assistance Systems (ADAS) front cameras.

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