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Longevity Biotech Investor, Machine Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Technische Universität Berlin
Fulbright Scholar, Sonification of Programs
January 1, 2009 – January 1, 2011
Dartmouth College
MA, Digital Musics
January 1, 2007 – January 1, 2009
University of Washington
BS, Computer Science
January 1, 2000 – January 1, 2005
Tokyo Denki University
Doctor of Philosophy - PhD, Audio Analysis/Synthesis, Quality Estimation
N/A – Present
ElevenLabs
Research Engineer
September 1, 2025 – Present
Roughsoft
Software Engineer
January 1, 2023 – November 1, 2025
Healthspan Capital
General Partner
April 1, 2021 – Present
Software Engineer
July 1, 2015 – April 1, 2023
Apportable
Software Engineer
August 1, 2013 – June 1, 2015
San Francisco Bay Area
Dolby Laboratories
Software Engineer
June 1, 2009 – August 1, 2009
Audacity Team
Developer Team Member
June 1, 2008 – January 1, 2013
Beat Inc (Former subsidiary of IMJ Group)
Software Engineer
June 1, 2006 – August 1, 2007
Tokyo
Microsoft
Software Engineer
June 1, 2005 – August 1, 2005
Seattle
University of Washington
Software Engineer
March 1, 2003 – September 1, 2004
Seattle, Washington
Adobe
Software Engineer Intern
June 1, 2001 – September 1, 2001
Seattle
Cultural Fit Analysis
The candidate's diverse educational background (including Fulbright Scholar, MA in Digital Musics, PhD) and varied professional experiences (from large tech companies like Google and Microsoft to startups like Apportable and research roles) suggest adaptability and a broad perspective. The involvement with the Audacity Team and open-source contributions indicates a collaborative spirit. However, the recent role as a General Partner at a capital firm, while demonstrating leadership, might indicate a shift in focus from purely technical execution, which could be a point of discussion for cultural fit within a hands-on ML engineering team. The future role at ElevenLabs aligns well with the target role.
Soft Skills & Operational Fit
The candidate's extensive experience in research and development roles, particularly at Google and ElevenLabs (future role), suggests a strong aptitude for problem-solving, innovation, and working within complex technical environments. The description of working on projects like 'Lyra neural speech codec' and 'ViSQOL quality estimation' implies a focus on quality, performance, and practical application of advanced algorithms. The role at Healthspan Capital as a General Partner, while not directly technical, indicates business acumen and strategic thinking, which can be valuable in operational contexts.