Summary
Yutaka Sawai is a manager and hands-on digital solutions leader with 11 years of experience applying machine learning and data engineering to semiconductor manufacturing. He has progressed from device and process engineering to leading digital transformation at ROHM, specializing in predictive yield modeling, anomaly detection, and explainable-AI-driven process improvements. Technically versatile, he builds full-stack solutions (React front ends, Python back ends, SQL, Azure/GCP/Databricks) and has delivered production web apps and image-segmentation models for wafer inspection. His domain expertise spans power and optical devices and low-level fabrication processes, enabling pragmatic ML that respects real-world manufacturing constraints. A lifelong maker motivated to "contribute to the world through manufacturing," he blends lab-honed materials science insights with production-grade data systems.
11 years of coding experience
13 years of employment as a software developer
Master of Engineering - MEng, Materials Science, Master of Engineering - MEng, Materials Science at Tohoku University
Japanese, English, German