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Software 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
Indiana University Bloomington
Master of Science (M.S.), Computer Science
January 1, 2014 – January 1, 2015
Rice University
Doctor of Philosophy (Ph.D.), Physical Chemistry
January 1, 2004 – January 1, 2009
Self-employed
Independent Researcher
April 1, 2023 – Present
San Francisco, California, United States
Software Engineer
January 1, 2021 – March 1, 2023
Mountain View, California, United States
Apple
Engineering Team Lead
September 1, 2019 – January 1, 2021
Apple
Machine Learning Software Engineer
May 1, 2016 – August 1, 2019
Insight Data Science
Data Engineering Fellow
January 1, 2016 – February 1, 2016
Palo Alto, California, United States
Cigital, Inc
Intern
May 1, 2015 – August 1, 2015
Bloomington, Indiana, United States
Indiana University
Research Assistant and Student
August 1, 2014 – December 1, 2015
Bloomington, Indiana, United States
Cultural Fit Analysis
The candidate has a strong background in large, structured tech companies (Google, Apple) and experience in research and data science. This indicates adaptability to different work environments. However, the recent 'Self-employed Independent Researcher' role with a vague description and the transition from a Ph.D. in Physical Chemistry to Computer Science, while demonstrating intellectual curiosity, might suggest a less direct career path. The target role is 'Backend Engineer', and while the candidate has backend experience, a significant portion of their recent roles leans towards Machine Learning and Data Science, which might require clarification regarding their current interests and alignment with a pure backend role.
Soft Skills & Operational Fit
The candidate's experience as an Engineering Team Lead at Apple suggests leadership, project management, and potentially strong collaboration skills. The description of advising on security at Cigital indicates problem-solving and client interaction abilities. However, without specific psychometric test results or interview data, a detailed assessment of soft skills and operational fit is limited.