Charlie McGonagle
NLP EngineerMachine Learning 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
Machine Learning 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
Machine Learning enthusiast focusing on the world of NLP and occasionally exploring some deep learning. I like to work with the latest tools and try to know a little bit about everything. When I'm not researching or coding I'm taking on a different workout everyday and hope to eventually open my own crossfire gym. I'm happy to discuss new developments in the field or even help fellow engineers create solutions for existing questions.
Tufts University
Bachelor's degree, Computer Science and Bioinformatics
January 1, 2010 – January 1, 2014
Stealth
Senior Machine Learning Engineer
April 1, 2017 – Present
Greater Boston Area
Machine Learning Engineer
June 1, 2014 – August 1, 2015
San Francisco Bay Area
Software Engineering Intern
September 1, 2013 – April 1, 2014
San Francisco Bay Area
Cultural Fit Analysis
The candidate's experience at Google and a 'Stealth' company indicates adaptability to different organizational structures. The long tenure at 'Stealth' (2017-present) suggests stability. However, the lack of project details or diverse experiences outside of core ML roles makes a comprehensive cultural fit assessment challenging.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience at Google suggests exposure to structured engineering environments.