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Machine Learning Scientist at Draper
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced PhD researcher/software engineer in Machine Learning with an emphasis on Deep Learning and Computer Vision.
University of Maryland
Doctor of Philosophy (Ph.D.), Electrical Engineering
January 1, 2017 – Present
University of Maryland
Master of Science (M.S.), Electrical Engineering
January 1, 2015 – Present
Washington University in St. Louis
Bachelor of Science (B.S.), Electrical Engineering
January 1, 2009 – Present
Draper
Machine Learning Scientist
September 1, 2017 – Present
Greater Boston
U.S. Army CCDC Army Research Laboratory
Research Scientist
July 1, 2016 – August 1, 2017
Adelphi, MD
U.S. Army CCDC Army Research Laboratory
Student Researcher
March 1, 2012 – July 1, 2016
Adelphi, MD
University of Maryland
Graduate Research Assistant
August 1, 2010 – December 1, 2012
College Park, MD
Boeing
Software Engineer
June 1, 2009 – July 1, 2010
Greater St. Louis
Cultural Fit Analysis
The candidate's background is heavily weighted towards academic research and defense contracting. While this demonstrates a strong technical foundation, the diversity of projects and exposure to different organizational cultures is not explicitly detailed. The alignment with a typical fast-paced, product-driven ML Engineer role in a commercial setting would need further exploration. The candidate's long tenure in research roles suggests a preference for deep technical problem-solving.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit beyond the candidate's extensive research and academic background, which suggests a strong analytical and problem-solving orientation. No psychometric test results are available.