Kato Akinobu
Associate Director
Nagoya, Japan
Summary
🤩
Rockstar🎓
Top SchoolKato Akinobu is an Associate Director at Accenture with 11 years’ experience driving digital transformation of customer channels such as CRM and eCommerce across global enterprises. He combines hands-on engineering roots—from network and enterprise systems to cloud and Salesforce development—with strategic AI and generative-AI architecture work, leading PoCs through implementation. Kato has led large omni-channel rollouts and supply-chain traceability initiatives across multiple countries, and he focuses on improving system quality and development processes informed by rigorous model validation. He is also an active back-end contributor to the well-known Julius speech recognition engine, fixing core segmentation and build issues, reflecting a comfort with low-level systems as well as business-facing solutions. Based in Nagoya, he blends technical depth, cross-cultural program leadership, and a sustainability-aware approach to technology-enabled business change.
11 years of coding experience
20 years of employment as a software developer
Master of Engineering (M.Eng.), Energy, Environment, and Natural Resources Law, Master of Engineering (M.Eng.), Energy, Environment, and Natural Resources Law at Gifu University文部科学省 情報技術人材育成のための実践教育ネットワーク形成事業（Enpit）, 文部科学省 情報技術人材育成のための実践教育ネットワーク形成事業（Enpit） at Advanced Institute of Industrial Technology
Japanese, English
Github Skills (12)
c1710
speech-recognition10
develop10
c1110
optimization9
optimisation9
numerical-optimization9
algorithm9
code-optimization9
algorithms9
multithreading8
build-system7
Programming languages (4)
Github contributions (5)
julius-speech/julius
Apr 2015 - Apr 2021
Open-Source Large Vocabulary Continuous Speech Recognition Engine
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 releases, 290 commits, 32 PRs in 6 years 1 month
Contributions summary:Kato made several commits focused on the internal workings of the speech recognition engine. The commits primarily addressed bug fixes related to segmentation faults, improvements to build tools, and features to enhance module reconnection. The changes involved modifications to core modules, including the search algorithm, dependency management, and internal data structures of the Julius speech recognition engine.
audio-processingkaldispeech-to-textrecognitioncontinuous
julius-speech/grammar-kit
Sep 2015 - Jan 2019
Contributions:2 releases, 21 commits, 19 pushes in 3 years 4 months
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