Summary
Ryuji Tamaki is a Machine Learning Engineer in Chiyoda with 11 years of experience building end-to-end ML products, from data lakes and batch pipelines to real-time recommendation systems deployed in production at DeNA. His background spans data science and IT consulting, where he delivered measurable gains such as a 15% MAP increase for a machine learning search system and state-of-the-art results on peptide binding tasks. He has a strong research-to-production track record—winning a QA competition at NIPS2017 and automating 88% of customer support answers with an AllenNLP-based system. Comfortable across infrastructure, modeling, and feature engineering, he combines practical product impact with academic rigor (Master’s in Information Technology) and shares experiments publicly via his Kaggle account.
11 years of coding experience
2 years of employment as a software developer
Master's degree, Information Technology, Master's degree, Information Technology at The University of Electro-Communications