Yasutaka Odo is Head of AI Operations and founder with nine years of experience turning research-grade speech and neuroscience models into practical enterprise AI. He leads company-wide AI transformations at RightTouch and previously scaled voice-AI products and healthcare/education SaaS as CEO of Openly, blending product strategy with hands-on ML engineering. Trained at Kyoto University (Kawahara Lab) and RIKEN, he brings a human-centered approach—reverse-engineering AI from real workplace behavior to bridge the gap between model capability and organizational adoption. His work includes engineering contributions to WhisperX (adding Japanese support and language-aware alignment), showing a commitment to open-source speech tooling. Practically focused, he specializes in structuring scattered operational data, building internal AI agent platforms, and operationalizing forecasting and proposal workflows so teams can use AI reliably. If you care about deployable AI rather than pilot projects, he combines academic depth with startup execution to deliver org-level impact on a schedule.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Information Technology, Master's degree, Information Technology at Kyoto University
Associate of Arts - AA, PSYCHOLOGY, Associate of Arts - AA, PSYCHOLOGY at Highline College
Bachelor of Arts - BA, Experimental Psychology, Bachelor of Arts - BA, Experimental Psychology at Nagoya University
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
Role in this project:
ML Engineer
Contributions:18 commits, 1 PR, 1 comment in 2 days
Contributions summary:Yasutaka's commits primarily focus on enhancing the `whisperx` project, which centers around automatic speech recognition. Their contributions include adding Japanese language support, modifying and correcting error messages, and resolving conflicts. Furthermore, they've implemented alignment functionality with a specific focus on handling different languages by replacing magic strings and introducing language-specific behavior, indicating their involvement in improving the model's capabilities.
Contributions:20 reviews, 133 commits, 96 PRs in 4 months
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