Masaki Inaba

Engineering Manager

Career Summary

I studied electronics and information engineering at the University of Tokyo and its graduate school. I worked at Canon on robot vision and at Denso on R&D for in-vehicle camera image recognition. In addition to joint research with institutes and commercialization efforts, I led the design and construction of machine learning pipelines for processing large-scale automotive image data. At ExaWizards, I served as Tech Lead of the Machine Learning Vision Group and gained experience through a variety of PoC projects. I joined CADDi in 2022 and worked on projects that use machine learning to recognize and analyze 2D and 3D drawings. I currently serves as Head of the Data and Analysis Department.

Why I Joined

I first learned about CADDi through television programs and Twitter. When I encountered the mission to unleash the potential of manufacturing, I felt I wanted to contribute to a company that could help support Japan's future. I was also strongly drawn to CADDi's values and to what the technology organization cares about. One value in particular resonates with me deeply: keep sharpening your weapons, but do not become attached to them.

Role at CADDi

Since joining CADDi, I have been involved in developing machine-learning technologies for recognizing and analyzing manufacturing data. When I joined, the similar drawing search system was being developed and CADDi Drawer, the manufacturing data utilization cloud, had just been launched, so I started by working on the analysis of drawing data. Later, I helped establish machine learning development processes and data and annotation frameworks, and led the team responsible for developing and delivering analysis models that could read information from drawings in a generalizable way. Today, as head of the Data and Analysis Department, I lead the analysis of various kinds of data generated across the manufacturing supply chain—including 2D drawings, 3D CAD, and a wide range of documents—and carry the mission of turning that data into value.