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Machine Learning Engineer
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine learning engineering manager at Doma. Previously, I've worked on computer vision and machine learning at Orbital Insight and NASA
Old Dominion University
Master of Science (M.S.), Computer Science
January 1, 2013 – January 1, 2015
Old Dominion University
Graduate Certificate, Cyber Security
January 1, 2013 – January 1, 2014
Old Dominion University
Bachelor of Science (B.S.), Mathematics
January 1, 2009 – January 1, 2013
Runway
Member of Technical Staff - Research Engineering
May 1, 2023 – Present
Doma
Machine Learning Engineering Manager
September 1, 2021 – April 1, 2023
Doma
Senior Staff Machine Learning Engineer
July 1, 2021 – September 1, 2021
Doma
Staff Machine Learning Engineer
April 1, 2021 – July 1, 2021
Doma
Staff Data Scientist
January 1, 2020 – April 1, 2021
Doma
Senior Data Scientist
May 1, 2019 – January 1, 2020
Orbital Insight, Inc.
Software Engineer - Computer Vision/Deep Learning
October 1, 2016 – May 1, 2019
San Francisco Bay Area
NASA Langley Research Center
Data Analyst, Applied Machine Learning
November 1, 2015 – September 1, 2016
Norfolk, Virginia Area
NASA Langley Research Center
Pathways Intern - Big Data and Machine Intelligence
May 1, 2014 – November 1, 2015
Norfolk, Virginia Area
Old Dominion University
Graduate Teaching Assistant
August 1, 2013 – May 1, 2014
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on Machine Learning and Data Science, with significant time spent in research and specialized engineering roles. While this demonstrates deep technical expertise, the target role is 'Backend Engineer'. The candidate's experience is heavily skewed towards ML/AI, which may not directly align with typical backend engineering responsibilities such as API development, database management, or distributed systems design, unless the backend role is specifically within an ML infrastructure context. The lack of explicit backend engineering projects or skills listed makes it difficult to assess direct cultural fit for a general backend role.
Soft Skills & Operational Fit
The candidate's resume highlights experience in managing teams (Machine Learning Engineering Manager) and teaching (Graduate Teaching Assistant), suggesting leadership and communication skills. The descriptions of work at NASA indicate problem-solving and independent research capabilities. However, without specific project details or behavioral assessment data, a comprehensive evaluation of soft skills and operational fit is limited.