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Principal AI Engineer (PhD Tokyo)
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Tokyo Institute of Technology
Doctor of Philosophy (Ph.D.)
January 1, 2008 – January 1, 2011
The Naganuma School - Tokyo School of Japanese Language
Japanese
January 1, 2006 – January 1, 2007
Technical University of Munich
Master’s Degree, Computer Science
January 1, 1999 – January 1, 2006
Technical University of Munich
Master’s Degree, Appplied Mathematics
January 1, 1999 – January 1, 2005
Midokura
Principal Engineer
December 1, 2025 – Present
Midokura
Director of Advanced Development
September 1, 2021 – December 1, 2025
Midokura
AI Team Leader
December 1, 2020 – September 1, 2021
Midokura
AI & Machine Learning Software Engineer
September 1, 2018 – December 1, 2020
NDT Global
Machine Learning Expert
January 1, 2017 – September 1, 2018
Barcelona Area, Spain
Valeo
Software Team Leader
April 1, 2014 – January 1, 2017
Bobigny, France
Valeo
Image Processing Engineer (Altran Consultant)
March 1, 2013 – March 1, 2014
Bobigny, France
Thales Communications & Security
Research Engineer (Altran Consultant)
July 1, 2011 – December 1, 2012
Paris Area, France
Altran
Consultant
June 1, 2011 – March 1, 2014
Paris Area, France
Fujitsu
Internship
June 1, 2007 – March 1, 2008
EADS Astrium
Diploma thesis and working student
November 1, 2005 – August 1, 2006
Cultural Fit Analysis
The candidate has a strong background in AI/ML and software engineering, with a clear progression into leadership roles. However, the target role is 'Data Analyst', which is a significant shift from their extensive experience as a Principal Engineer, Director of Advanced Development, and AI Team Leader. While their analytical skills from their academic background and ML experience are relevant, the direct alignment with a pure Data Analyst role, which often focuses on business intelligence, reporting, and specific data visualization tools, is not explicitly demonstrated. The lack of project details makes it difficult to assess diversity beyond AI/ML applications. Therefore, cultural fit for the specified 'Data Analyst' role is low.
Soft Skills & Operational Fit
The candidate's resume indicates experience in team leadership and project management, suggesting strong organizational and collaborative skills. The description of adapting academic research to industrial settings implies problem-solving and practical application abilities. However, without specific psychometric or communication test results, a detailed assessment of soft skills and operational fit is limited.