At CADDi, we have a massive amount of technical drawings, corresponding quotations, along with data describing the required manufacturing processes. By processing these data into a form that is easier to utilize and quickly implementing the cycle of hypothesis testing, we aim to find answers to the problems faced by the manufacturing industry.
Besides what we already have, there is a lot more data out there that hasn’t been fully utilized. Assessing valuable data and preparing it for utilization is the key to taking the burden off this industry.
Design and implementation of data infrastructureManufacturing cost estimation data Transaction performance data Manufacturing control process data Usage data for various products Analysis of base data to obtain hypotheses concerning business and operational improvement Build data processing pipelines in cooperation with algorithm designers
[Specific business content] ・ Planning and execution of company-wide test strategy ・ Standardization of test process ・ Verification of test automation and introduction to product team ・ Support for efficiency improvement of QA work of product team ・ Other work that supports quality assurance by engineering
[Main development technology stack] Client technology: Unity, C # Server technology: PHP, Ruby on Rails Cloud: Amazon Web Services (AWS), Google Cloud Platform Version control: GitHub Project management: ClickUp Development PC: Mac