Summary
Alexey Riepenhausen is a data scientist and AI engineer based in the Greater Tokyo Area with eight years of cross-disciplinary experience blending NLP research, product-focused AI development, and data-driven consulting. He has built Japanese-language AI tools and educational content, contributed to NLP research at Sony CSL on predicting scientific discoveries, and recently joined AI CROSS to drive applied AI initiatives. Trained in High Performance Computing with Data Science (University of Edinburgh) and Computer Science with Business (Manchester), he pairs rigorous technical foundations with practical business impact—evident from early analytics tooling at ZEISS and multilingual experience spanning German, Chinese, and Japanese contexts. Known for turning research into production-ready systems, he brings a curiosity for language technologies and an uncommon background combining translation, finance analytics, and machine learning.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, High Performance Computing with Data Science, Master of Science - MS, High Performance Computing with Data Science at The University of Edinburgh
Bachelor of Science - BS, Computer Science with Business & Management, 2.1 ( ~ 68 ), Bachelor of Science - BS, Computer Science with Business & Management, 2.1 ( ~ 68 ) at The University of Manchester
German Abitur, 1.1, German Abitur, 1.1 at State Grammar School for Highly Gifted Children, Germany
Studying Mandarin Chinese, Studying Mandarin Chinese at No. 42 Middle School of Shijiazhuang City, China
German, English, Chinese, Russian, Japanese