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Shoya Matsumori
San Francisco, California,United States
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Find Shoya Matsumori's PhoneWho Is Shoya Matsumori?
Shoya Matsumori is a distinguished software engineer and researcher, primarily known for his significant contributions in the field of Artificial Intelligence and Machine Learning. He has played a pivotal role at Preferred Networks, Inc. (PFN), a leading Japanese AI company. His work often revolves around developing and optimizing deep learning frameworks, high-performance computing, and applying AI to solve real-world problems, particularly in areas like autonomous driving, robotics, and computer vision. Shoya is recognized for his technical expertise in building scalable and efficient AI systems and has been involved in the development of core technologies at PFN, including the Chainer deep learning framework and the Optuna hyperparameter optimization framework. He is passionate about pushing the boundaries of AI and sharing knowledge within the tech community.
How Did Shoya Matsumori's Career Path Shape Their Journey?
Shoya Matsumori's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
What Are Shoya Matsumori's Key Achievements?
Core Developer of Chainer/CuPy
Played a key role in the development and maintenance of Chainer, an open-source deep learning framework, and CuPy, a NumPy-compatible array library for GPU-accelerated computing. These tools have been instrumental in enabling rapid prototyping and research in deep learning.
Development of Optuna
Significantly contributed to Optuna, an open-source hyperparameter optimization framework designed to automate the trial-and-error process in machine learning. His work helped make Optuna a widely adopted tool for AI practitioners.
Advancements in AI for Industrial Applications
Led and contributed to various projects at Preferred Networks applying AI to industrial challenges, including manufacturing optimization, autonomous driving systems, and robotics, demonstrating practical impact of AI technologies.
High-Performance Computing for Deep Learning
Specialized in optimizing deep learning models and computations for high-performance computing environments, enabling faster training and inference on large-scale datasets and complex models.
What's Shoya Matsumori's Educational Background?
Doctor of Philosophy - PhD, Computer Science
Keio University - Year 2018
Bachelor of Engineering - BE, Computer Science
Keio University - Year 2014
Electrical Engineering and Computer Sciences (EECS)
University of California, Berkeley - Year 2016
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Company Overview
Carnot IncCarnot Technologies (operating as Carnot Inc. for the purpose of this request) was an Indian technology startup specializing in Internet of Things (IoT) solutions for the automotive sector. They developed hardware and software to provide real-time vehicle diagnostics, tracking, driver behavior analysis, and predictive maintenance alerts. Their aim was to make cars smarter and enhance road safety. Carnot Technologies was acquired by CarDekho (GirnarSoft) in 2019 to bolster CarDekho's connected car capabilities.
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