Mitsubishi Electric Engineer Earns Kaggle Competitions Master Title in World’s Largest AI Competition

Kaggle’s top 1.3% recognized for mathematical-modeling and machine-learning skills TOKYO, May 22, 2026–(BUSINESS WIRE)–Mitsubishi Electric Corporation (TOKYO: 6503) announced today that Tadakiyo Seki, an engineer at the company’s Engineering and Development Center in Japan, has been awarded the title of Kaggle Competitions Master by Kaggle, Inc., a Google LLC subsidiary and the world’s largest AI…


Mitsubishi Electric Engineer Earns Kaggle Competitions Master Title in World’s Largest AI Competition

Kaggle’s top 1.3% recognized for mathematical-modeling and machine-learning skills

TOKYO, May 22, 2026–(BUSINESS WIRE)–Mitsubishi Electric Corporation (TOKYO: 6503) announced today that Tadakiyo Seki, an engineer at the company’s Engineering and Development Center in Japan, has been awarded the title of Kaggle Competitions Master by Kaggle, Inc., a Google LLC subsidiary and the world’s largest AI competition platform.

The title is awarded based on the total number of medals a competitor accumulates. Kaggle medals recognize competitors who use superior skills in mathematical modeling or machine learning to develop effective solutions to challenges posed by companies, research institutions and other organizations. Seki has accumulated one gold medal and two silver medals, placing him among the top 1.3% of all Kaggle participants.

Seki has competed in Kaggle competitions since 2024, using his expertise in physical modeling and machine-learning techniques honed through daily research and development. He won a gold medal by placing 10th out of 1,727 teams in the March Machine Learning Mania 2025 competition, which involved the statistical prediction of basketball game outcomes. He also earned a silver medal by placing 63rd out of 1,424 teams in the PhysioNet – Digitization of ECG Images competition, which required extracting waveform data from electrocardiogram images with high precision. Most recently, Seki secured a silver medal by placing 44th out of 1,867 participants in the Stanford RNA 3D Folding Part 2 competition, which focused on predicting the three-dimensional structure of ribonucleic acid (RNA) from base-sequence information.

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