Takuma Yamaguchi is a seasoned technology leader and machine learning engineer, currently Head of Engineering for Mercari US, blending hands-on ML work with strategic product and platform leadership. With more than a decade of experience across machine learning, big data, and backend systems, he has built and scaled data platforms using Hadoop, Hive, Spark, and HBase, and led ML-driven search and recommendations. He also champions user-centric product experiences, shipping CV/IR-driven features and semantic search to improve item discovery and UX. An academic-leaning technologist, he holds a Ph.D. in Engineering Information Engineering from Shinshu University and has served as a lecturer, bridging research insights with production systems. His open-source contributions include leading the matsui528/sis image search engine, where he integrated VGG16 for feature extraction, built a Flask app for image uploads, precomputed features offline, and refined the frontend.
9 years of coding experience
15 years of employment as a software developer
M.S. in Engineering, Information Engineering, M.S. in Engineering, Information Engineering at Shinshu University
Contributions:28 commits, 6 PRs, 40 pushes in 4 years 4 months
Contributions summary:Takuma primarily contributed to the development of an image search engine. Their work involved integrating the VGG16 model for feature extraction, creating a Flask-based web application to handle image uploads, and performing similarity searches. They also implemented an offline script to precompute image features and store them for faster retrieval, along with updating the frontend with a basic HTML template.
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