Arun Natarajan
About Arun Natarajan
Arun Natarajan is the Chief Engineer of Engineering Process Automation at QuEST in Bengaluru, India, with extensive experience in automation frameworks and CAD/CAM/CAE applications.
Company
Arun Natarajan is currently working at QuEST in the Bengaluru area, India. He holds the position of Chief Engineer for Engineering Process Automation. His role involves leading technical teams and developing automation frameworks to enhance engineering processes and tools.
Title
Arun Natarajan holds the title of Chief Engineer for Engineering Process Automation. In this capacity, he has spearheaded various initiatives aimed at optimizing and automating essential engineering tasks and processes.
Education and Expertise
Arun Natarajan studied at the Birla Institute of Technology and Science, Pilani, earning a Bachelor of Science (B.S.) in Engineering between 2002 and 2005. Prior to that, he completed a diploma in Mechanical Engineering from Annai JKK Sampoorani Ammal Polytechnic between 1996 and 1999. His educational background laid the foundation for his extensive expertise in mechanical and process automation engineering.
Technical Projects and Innovations
Arun Natarajan has developed a variety of technical frameworks and automation suites. These include a framework for Large Truck Assembly Review Automation, a Content Based Image Retrieval (CBIR) Document Classification and Metadata Retrieval system, and a Migration Automation Suite for transitioning from CREO to NX. He also led projects converting hand-drawings to 3D models, and developing integrated frameworks for automated context extraction of Manufacturing Stage Models.
Engineering Process Artifacts
Arun Natarajan has a diverse range of experience with engineering process artifacts such as schematic line diagrams, rotor bending diagrams, 1/1 layouts, 3D models, assemblies bill of materials, manufacturing drawings, and work instructions. His proficiency extends to automated b-surface and spline-based parts, standardized reusable parts with Product Manufacturing Information (PMI), and the integration of Feature-Based Machining (FBM) libraries.