Ryota Koshimizu

Ryota Koshimizu has a diverse work experience spanning over several years. Ryota is currently working as a Test Automation Engineer at Joby Aviation since November 2021. Prior to this, Ryota worked at Waygate Technologies as a Lead Applications Engineer from February 2017 to October 2021. In this role, they were responsible for leading technical sales operations and strategies in the west region for 2D X-ray imaging and CT systems. Ryota developed new testing techniques for clients and automated manual routine inspections, resulting in a 60% reduction in test time.

Ryota also worked at GE Oil & Gas as a Field Application Engineer / Sales Manager from January 2015 to October 2016. In this position, they acted as a bridge between domestic and global marketing, engineering, and product teams, streamlining product delivery and localization for the Japanese market. Ryota demonstrated 2D X-ray and CT products to customers and presented technical solutions.

Earlier in their career, Ryota was an Applications Engineer Team Lead at National Instruments from October 2012 to December 2014. Ryota managed a team of 6-15 applications engineers, reducing AE onboarding time by 20% and increasing customer satisfaction score. Ryota also trained new hires on software and hardware products and troubleshooting for testing/embedded systems. Prior to this, they held roles as a Solutions Engineer - New Energy from January 2011 to September 2012 and an Applications Engineer from July 2008 to December 2010 at National Instruments. In these roles, Ryota provided support to customers for all NI hardware and software products, conducted customer training, and contributed to knowledge base creation.

Ryota Koshimizu obtained a Bachelor of Science (BS) degree in Mechanical Engineering from the University of Washington in 2008. Additionally, they earned several certifications, including a specialization certificate in Deep Learning from deeplearning.ai on Coursera in March 2019, a specialization certificate in Applied Data Science with Python from the University of Michigan on Coursera in February 2019, and a certificate in Machine Learning from Stanford University on Coursera in June 2018.