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Director, Data Scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a multi-disciplined creative problem solver seeking problems that could be turned into new opportunities.
University of California, Berkeley
PhD, Mechanical Engineering
January 1, 1985 – January 1, 1989
Brighterion
Director Data Scientist - Machine Learning Specialist
July 1, 2015 – Present
San Francisco Bay Area
Process Consulting
Owner
August 1, 2013 – July 1, 2015
Berkeley, Ca
Invenios
Principal Process Development Engineer
November 1, 2012 – July 1, 2013
Santa Barbara, Ca
LensVector
Sr. Staff Process Development engineer
November 1, 2007 – March 1, 2012
Sunnyvale, Ca
Photon Dynamics
Senior Research Engineer, Modulator Group
May 1, 2004 – March 1, 2007
San Jose, Ca
Opsys
Manager, Photo and wet etch
August 1, 2001 – April 1, 2003
Fremont, Ca
Microdisplay Corporation
Senior Process Engineer
November 1, 2000 – July 1, 2001
San Pablo, Ca
Candescent Technology Corporation
Staff Process Development Engineer
May 1, 1997 – November 1, 2000
San Jose, Ca
Cypress Semiconductors
Sr. Process Development Engineer, Lithography
April 1, 1995 – May 1, 1997
San Jose, Ca
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on process engineering and scientific research, with a recent pivot towards data science and machine learning. While the 'Software Engineer' target role is broad, the candidate's background is heavily weighted towards hardware/manufacturing process development rather than traditional software development. The diversity of industries (semiconductors, displays, micro-fluidics, fraud detection) indicates adaptability, but the core skill set might not directly align with typical software engineering cultural expectations without further evidence of software development practices.
Soft Skills & Operational Fit
The candidate's resume highlights leadership and management experience (e.g., Director Data Scientist, Owner, Principal Process Development Engineer, Manager). The descriptions suggest strong problem-solving abilities and a hands-on approach to process development and optimization. However, specific soft skills like collaboration, communication style, or adaptability in a software engineering context are not explicitly detailed.