Intel manufactures over 400 Million chips a year. There are 1200x1200 elements that can cause a bug. I was tasked with creating a front-end for the $400M AI system that Intel had purchased. Intel engineers needed to:
• Document overall workflow from design through to manufacturing, bug reporting and debug engineering techniques.
• Create a system that provides real-time labeling for continuous analysis of debug engineering cognitive expertise.
• Establish a standard, consolidated, and scalable storage and processing/analytics platform leveraging Hadoop.
• Provide software tools that have been crafted to maximize debug engineer success with time-saving efficiency including:
> Enablement of machine learning to improve debug recommendations.
> Tools that enable debug engineers to create, as well as select, the best workflows, and models for their specific challenge.
• Develop a brand name and private label strategy for the interface
• Document overall workflow from design through to manufacturing, bug reporting and debug engineering techniques.
• Create a system that provides real-time labeling for continuous analysis of debug engineering cognitive expertise.
• Establish a standard, consolidated, and scalable storage and processing/analytics platform leveraging Hadoop.
• Provide software tools that have been crafted to maximize debug engineer success with time-saving efficiency including:
> Enablement of machine learning to improve debug recommendations.
> Tools that enable debug engineers to create, as well as select, the best workflows, and models for their specific challenge.
• Develop a brand name and private label strategy for the interface
