Yuto Tanaka

Led the development and deployment of production-ready AI applications, including LLM-powered platforms, RAG systems, and AI agents. Improved model accuracy and reliability through prompt engineering, fine-tuning, evaluation pipelines, and monitoring, and mentored engineers on production deployment standards.

Developed machine learning models for prediction, classification, recommendation, NLP, computer vision, and business automation use cases. Built end-to-end ML pipelines and integrated models into backend systems using Python, FastAPI, Docker, PostgreSQL, and REST APIs, supporting MLOps workflows with Git, CI/CD, and MLflow.

Built AI and machine learning features for web-based and enterprise software applications using Python-based NLP and classification models. Supported dataset preparation through deployment of AI services, created REST APIs to connect AI models with application systems, and collaborated with cross-functional teams to deliver practical AI-powered solutions.

Studied advanced machine learning, deep learning, natural language processing, computer vision, data mining, and intelligent system design. Completed a research-based AI project involving model development, evaluation, and deployment for real-world applications.

Studied software engineering, algorithms, data structures, database systems, operating systems, mathematics, statistics, and artificial intelligence fundamentals.