Masashi Kudo

Masashi Kudo has a comprehensive work experience that spans over several companies and roles in the technology industry. In 1995, Kudo joined NEC Systems Laboratories as a Manager, where they led technical alliances with key partners in the US and focused on kernel performance tuning for Windows NT3.51 on MIPS with Microsoft.

In 2002, Kudo joined NEC Corporation and held various positions, including Senior Manager from 2002 to 2006, again from 2006 to 2010, and finally from 2010 to 2015. During their time at NEC, they also served as a Patent Attorney in Japan from 2004 to 2015 and as the CTO of the SDN Group from 2015 to 2018.

In 2013, Kudo became involved with the OpenDaylight Project, where they served as an Ambassador from 2014 to 2018. Masashi also worked on the OpenDaylight VTN project from 2013 to 2018.

From 2018 to 2023, Kudo worked at Cybertrust Japan Co., Ltd. as a Technology Advisor, providing expertise and guidance in the field.

Kudo's most recent position is as a Corporate Application Engineer at Quadric, where they started in 2023. The specific details of this role, such as the start and end dates, have not been provided.

Additionally, Kudo also had a role at Civil Infrastructure Platform as the CIP Kernel Team Chair from 2019 to 2021.

Overall, Masashi Kudo has acquired a diverse range of experience and expertise throughout their career in the technology industry.

Masashi Kudo holds a Master's Degree in Applied Mathematics and Physics from Kyoto University, which was obtained between 1979 and 1985. In addition to their formal education, they have obtained several certifications. These include completing the TensorFlow: Advanced Techniques Specialization at Coursera in September 2021, the JDLA Deep Learning for ENGINEER 2021#1 program at the Japan Deep Learning Association in February 2021, the Generative Adversarial Networks (GANs) Specialization at Coursera in January 2021, the Reinforcement Learning Specialization at Coursera in January 2021, the Algorithms Specialization at Coursera in November 2020, the AI for Medicine Specialization at Coursera in August 2020, the Deep Learning Specialization at Coursera in July 2020, the Machine Learning program at Stanford University in July 2020, and the JDLA DeepLearning for General program at the Japan Deep Learning Association in November 2019.