Atsushi Hara
機械学習エンジニア at 株式会社 Facilo
Chiyoda, Japan
Summary
👤
Senior🎓
Top SchoolAtsushi Hara is a machine learning and data engineer based in Chiyoda with 11 years of experience building data platforms and applied ML, particularly in NLP and IoT time-series domains. He has designed and operated data lakes and warehouses for Nature Inc.’s IoT service, translated device telemetry into company-wide reports, and ran experiments to bring ML models into production. His background spans R&D and engineering roles at startups and consultancies, including work as an architect at Slalom Build and current machine learning engineering at Facilo, giving him both product-focused and systems-level perspectives. Deeply interested in MLOps, he blends hands-on model development with production orchestration—an asset for teams needing repeatable, observable ML pipelines. Notably, his career bridges research-style neural NLP work and practical data engineering for scalable IoT analytics.
11 years of coding experience
4 years of employment as a software developer
学士, 理工学部情報科学系, 学士, 理工学部情報科学系 at 明治大学修士, 理工学研究科基礎理工学専攻情報系, 修士, 理工学研究科基礎理工学専攻情報系 at 明治大学大学院
Chinese
Github Skills (50)
convolutional-neural-networks10
keras10
reinforcement-learning9
python9
youtube9
machine-learning9
sarsa9
neural-architecture-search9
automl9
batch-processing9
automated-machine-learning9
k8s9
knative8
cloud-native8
deep-learning8
Programming languages (7)
Github contributions (5)
toohsk/toohsk.github.io
Jun 2021 - Jul 2026
Contributions:3 PRs, 34 pushes, 10 branches in 5 years 2 months
toohsk/keras-io
Jun 2020 - Apr 2021
Keras documentation, hosted live at keras.io
Contributions:3 pushes, 1 branch in 10 months
deep-learninghostedmachine-learningtensorflowkeras
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