
Machine Learning Scientist at Draper
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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.