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Director of AI at Metabob Inc
I lead teams that create new technologies that later become mainstream: telehealth for clinical depression (2017), application and detection of affect in speech (2015), driver behavior with ADAS (2005), and most recently AI-assisted code review tools. Experience in California, Switzerland, and Japan gives me an attitude that works well with international teams. Published in IEEE journals, ACM SigChi, 電子情報通信学会誌, IEEE, and ASJ, I serve as editor to several publications, and continue consulting on many fascinating projects. http://brss.us/cv
Stanford University
Master of Science - MS, Electrical and Electronics Engineering
September 1, 1982 – September 1, 1983
Stanford University
MS, Electrical Engineering
January 1, 1981 – January 1, 1983
University of Southern California
BS, Electrical Engineering
January 1, 1977 – January 1, 1981
Metabob
Director of AI
February 1, 2020 – Present
Palo Alto, California, United States
Ellipsis Health
Senior Speech AI Engineer
October 1, 2017 – July 1, 2018
San Francisco Bay Area
Fluential Inc.
Consultant
January 1, 2014 – April 1, 2014
Sunnyvale
Oracle Corp
Consultant
January 1, 2012 – May 1, 2015
Redwood Shores, California
Toyota InfoTechnology Center USA
Research Manager
November 1, 2002 – March 1, 2011
Mountain View, California
Stanford University Center for the Study of Language and Information
Research staff
January 1, 2002 – October 1, 2002
Stanford, California
Nuance Communications
Software Engineer
November 1, 1999 – April 1, 2001
Advanced Telecommunications Research International
Invited Engineer
July 1, 1995 – October 1, 1999
Seika, Kyoto, Japan
松下電器無線研究所
研究者
November 1, 1987 – October 1, 1988
大阪府門真市かどま1006
Panasonic Speech Technology Laboratory
Research Engineer
September 1, 1985 – June 1, 1995
Santa Barbara, California & Kadoma, Japan
Hughes Aircraft Company Ground Systems Group
Member of Technical Staff
September 1, 1983 – September 1, 1985
Fullerton, California, United States · On-site
Bell Laboratories
Student Intern
June 1, 1980 – September 1, 1981
Holmdel, New Jersey, United States · On-site
Cultural Fit Analysis
The candidate has a diverse background working in various company sizes and cultures, from startups (Metabob, Ellipsis Health) to large corporations (Oracle, Toyota, Panasonic, Hughes Aircraft) and research institutions (Stanford, ATR). Experience in both US and Japanese companies, including managing international teams and reporting to Japanese management, indicates strong adaptability and cross-cultural communication skills. The long tenure in research and development roles suggests a preference for innovation and continuous learning, which aligns well with a dynamic ML engineering environment. However, the candidate's experience spans a very long period, and while impressive, some of the earlier technologies mentioned might not be directly relevant to modern ML engineering practices, potentially indicating a need to assess current tool proficiency.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership, project management, and collaboration skills through roles like Director of AI and Research Manager, including managing interns and university collaborations. Experience with Agile development and offshore team management suggests adaptability and operational awareness. The descriptions also highlight a focus on problem-solving and delivering tangible results, such as reducing driving accidents and developing HIPAA-compliant systems.