Summary
Shota Nishiyama is a Machine Learning Engineer with eight years of experience specializing in anomalous sound detection, video recognition, and multimodal ML that combines acoustics and images. He currently leads R&D in computer vision and NLP at ZOZO after research roles at Araya Inc. and the National Institute for Physiological Sciences, blending academic rigor with product-focused development. His background includes short-term product management and full-stack engineering stints, giving him a practical edge in shipping research-driven features. A competitive programmer by practice, he brings algorithmic efficiency to model design and prototype implementation. Based in Gifu, Japan, he holds bachelor’s and master’s degrees in computer science from Aichi Institute of Technology. Colleagues value his ability to translate novel research into product-ready solutions that tackle real-world sensory data challenges.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Aichi Institute Of Technology