Preferred Networks, Inc.
Kenshin Abe is a skilled software engineer with extensive experience in developing advanced frameworks and web APIs. Currently employed at Preferred Networks, Inc. since April 2021, Kenshin has previously contributed to the implementation of Chainer Chemistry as part of a graph neural network at the same company in August 2019. Prior to this, Kenshin worked at LINE Corp, where the focus was on Web API implementation. Earlier experiences include a role as a data analyst at Alibaba.com. Kenshin holds both a Master's degree and a Bachelor's degree in Computer Science from The University of Tokyo, earned in 2021 and 2019, respectively.
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Preferred Networks, Inc.
Preferred Networks (PFN) was established in March 2014 with the goal to develop practical, real-world applications of deep learning, robotics and other advanced technologies. PFN’s business domains include transportation, manufacturing, life sciences, robots, plant optimization, materials discovery, education and entertainment. In 2015, PFN developed Chainer™, the open-source deep learning framework. PFN’s MN-3 supercomputer, which is equipped with the MN-Core™ deep learning processor, topped the Green500 list three times in 2020 and 2021.