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Taro Suzuki

Building reliable, scalable AI systems — from NLP pipelines to LLM-powered automation.

About

Taro Suzuki

Senior AI/ML Engineer with 7+ years of experience designing and deploying applied machine learning systems and scalable software solutions. My background combines strong software engineering foundations with hands-on expertise in predictive modeling, NLP, and production-grade ML systems.

I have delivered forecasting models, structured data solutions, and NLP systems in enterprise environments — covering the full ML lifecycle from data preprocessing to deployment and monitoring.

More recently, I've focused on LLM applications including RAG pipelines, prompt engineering, and agent-based automation workflows. I'm passionate about building reliable, maintainable AI systems that integrate seamlessly into production environments.

7+

Years

20+

Projects

M.S.

U of Tokyo