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Staff Research Scientist at Google DeepMind
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Over 12 years of research and hands-on experience in signal/image/video processing, computer vision, deep learning, and machine learning.
University of Delaware
Doctor of Philosophy (Ph.D.), Signal and Image Processing.
January 1, 2010 – January 1, 2014
Universidad Nacional de Colombia
Bachelor's of Science, Electronics Engineering.
January 1, 2004 – January 1, 2009
Staff Research Scientist
February 1, 2022 – Present
Palo Alto Networks
Senior Principal Machine Learning Engineer
May 1, 2021 – December 1, 2021
Santa Clara, California, United States
Target
Principal AI Scientist
May 1, 2020 – May 1, 2021
Sunnyvale, California, United States
Target
Lead AI Scientist
August 1, 2018 – May 1, 2020
Sunnyvale, California, United States
American Family Insurance
Data Scientist II
August 1, 2016 – July 1, 2018
Madison, Wisconsin Area
PARC
Research Scientist
October 1, 2014 – July 1, 2016
Electrical and Computer Engineering Department, University of Delaware
Teaching assistant
June 1, 2011 – May 1, 2013
Electrical and Computer Engineering Department, University of Delaware
Business Development Intern at the Office of Economic Innovation and Partnerships
February 1, 2010 – May 1, 2013
Electrical and Computer Engineering Department, University of Delaware
Research Assistant
February 1, 2010 – October 1, 2014
University of Delaware
Research intern
July 1, 2009 – December 1, 2009
University of Delaware
Summer Research Intern
June 1, 2008 – August 1, 2008
Cultural Fit Analysis
The candidate has worked in diverse environments, from academic research to large corporations like Google and Target, indicating adaptability. Their progression through senior and principal roles suggests ambition and a drive for impact. The target role of 'Data Analyst' is a significant shift from their recent 'Staff Research Scientist' and 'Principal Machine Learning Engineer' roles, which might indicate a potential mismatch in scope or a desire for a different type of challenge. The breadth of their experience in AI/ML could be an asset, but the specific alignment with a pure 'Data Analyst' role needs further exploration.
Soft Skills & Operational Fit
The candidate's extensive experience in research and lead roles suggests strong problem-solving, critical thinking, and leadership skills. Their academic background and teaching experience also point to good communication and analytical abilities. However, without specific project descriptions or behavioral assessment data, it is difficult to fully assess collaboration, stress handling, or detailed work attitude.