Josh Daniel
Artificial Intelligence Engineer at JODAI
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolJosh Daniel is an Artificial Intelligence Engineer based in Tokyo with eight years of cross-disciplinary experience building production AI, NLP, and agentic systems for clients across four continents. He leads a team of engineers and researchers to turn research-grade language and audio models into deployed products, with hands-on expertise in data pipelines, API engineering, and cloud resource management. A University of Toronto graduate in Computer Science with deep study in Cognitive and Linguistic topics, he blends philosophical and linguistic insight with pragmatic engineering to solve real-world language problems. His recent engagements span startups, legal and education advising, and major platforms like Cookpad and Rakuten, reflecting a rare mix of R&D leadership and product delivery. Multilingual and curious about languages themselves, he leverages cultural nuance in language modelling to create more inclusive, user-centered AI.
8 years of coding experience
10 years of employment as a software developer
Honours Bachelor of Science, B.Sc. (Hons.), Computer Science: AI, Honours Bachelor of Science, B.Sc. (Hons.), Computer Science: AI at University of Toronto
English, Tagalog, Turkish, Japanese, FrenchProgramming languages (1)
Github contributions (5)
JoshGelua/Computational-Linguistics
Apr 2019 - Apr 2019
Contributions:13 commits, 12 pushes, 1 branch in 1 day
JoshGelua/C-Software-Tools-Labs
Sep 2019 - Oct 2019
Contributions:63 pushes, 1 branch in 1 month
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