Summary
Akira Kakinohana is a Principal Speech Scientist with 12 years of experience operating at the intersection of software engineering, computational linguistics, and natural language understanding. Based in Düsseldorf, he has led multilingual NLU teams and built hybrid rule-based and statistical language models for embedded assistants in cars, TVs, and PCs at Nuance and Cerence. His background spans hands-on engineering, localization and technical translation, and program-level coordination—skills reinforced by an MSc in Computational Linguistics and a part-time MBA. Known for bridging research and product teams, he has also written custom tooling to automate localization workflows where off-the-shelf CAT tools fell short. Currently focused on machine learning and data science, he pursues continuous learning through Coursera to drive the next phase of speech and NLU innovation. Colleagues rely on him for both language expertise and pragmatic solutions that move research into production.
12 years of coding experience
12 years of employment as a software developer
MBA, MBA, MBA, MBA at The Open University
BE, Information Engineering, BE, Information Engineering at University of the Ryukyus
MSc., Computational Linguistics, MSc., Computational Linguistics at Universität des Saarlandes
English, Japanese, German