Summary
Shinji Kato is a Senior Data Scientist with nine years of experience translating research-grade ideas into production-ready data and AI systems, currently based in Denton, Texas. He blends academic rigor from his work at the University of North Texas and HPCC lab—co-authoring a peer-reviewed paper on automatic workflow generation—with hands-on industry delivery at Microbase and CivicNexus, where he built robust data pipelines, Japanese address normalization, and a prototype vector search for policy alignment. Comfortable across the stack, Shinji has implemented FastAPI integrations, React UIs for workflow orchestration, and FaaS automation on AWS, demonstrating both backend engineering and user-facing product sensibilities. He is detail-oriented about data quality and edge cases, evidenced by an 80%+ reduction in errors from regex-driven normalization and iterative evaluation of embedding/search approaches. Quietly ambitious, he pairs reproducible research instincts with practical engineering to move AI projects from prototype to scalable deployment.
9 years of coding experience
University of North Texas
Japanese, English