Ikki Tanaka

Head Of AI ML at DeNA

Chiyoda, Japan
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Summary

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Senior
🎓
Top School
Ikki Tanaka is a Senior Staff AI Engineer and former Head of AI/ML at DeNA with 11 years of experience building production-scale AI for mobile gaming, sports, smart city, healthcare and other consumer services. He combines applied research in reinforcement learning, optimization and generative models with hands-on engineering to deliver AI-native products and agentic systems, and now explores Physical AI and embodied intelligence as next pillars for the company. A Kaggle Master and multi-contest prize winner, he regularly translates competitive data-science rigor into robust, deployable models and has presented at Google Cloud Next and GDC. His academic background in mathematical programming for power systems informs a strong foundation in optimization-driven design that underpins his work in game AI and recommendation. Known for leading cross-functional teams end-to-end—from research to productization—he blends practical product focus with deep algorithmic curiosity.
code11 years of coding experience
job5 years of employment as a software developer
bookMaster of Engineering - MEng, Integrated Design Engineering, Master of Engineering - MEng, Integrated Design Engineering at Keio University
languagesJapanese, English
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Github Skills (12)

deep-reinforcement-learning10
pytorch10
machine-learning10
simple-framework10
distributed-training10
deep-learning10
reinforcement-learning10
stacked10
generalization9
python9
ensemble-learning8
translation3

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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ikki407/stacking

Jul 2016 - Dec 2017

Contributions:35 commits, 32 PRs, 56 pushes in 1 year 5 months
stackedgeneralizationensemblemachine-learningensemble-learning
ikki407/HandyRL

Feb 2021 - Apr 2022

HandyRL is a handy and simple framework for distributed reinforcement learning that is applicable to your own environments.
Contributions:2 PRs, 51 pushes, 32 branches in 1 year 2 months
simple-frameworkdistributed-reinforcement-learningreinforcement-learninghandyreinforcement
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