Shogo Watanabe is a research engineer based in Tokyo with 11 years of experience building full-stack machine learning systems that span data collection, unsupervised and supervised training, and backend automation. He has driven end-to-end projects from algorithm design through coding and testing, with domain strengths in neural networks, graph theory, databases and OOP. Recent work includes developing computer vision and unsupervised image-classification platforms and several automation tools for simulation and dataset creation. He is privately developing an original vector database optimized for text-attributed graphs, reflecting a practical interest in specialized retrieval and graph-structured representations. Previously trained as a civil engineer, he brings disciplined planning and systems thinking from public-sector infrastructure work into production ML engineering.
Contributions:3 PRs, 22 pushes, 3 branches in 5 years 9 months
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