Lead Machine Learning Engineer at Distributed Spectrum
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Duke University
Bachelor's Degree, Russian Language
January 1, 2009 – January 1, 2013
Duke University
Bachelor of Arts (B.A.), Linguistics
January 1, 2009 – January 1, 2013
Distributed Spectrum
Lead Machine Learning Engineer
April 1, 2023 – Present
NYC · On-site
Tala
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April 1, 2022 – April 1, 2023
Los Angeles, California, United States · Remote
WeWork
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WeWork
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February 1, 2018 – March 1, 2019
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Wink
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December 1, 2016 – February 1, 2018
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Insight Data Science
Data Engineering Fellow
September 1, 2016 – December 1, 2016
New York, NY
zavvie.com
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August 1, 2015 – September 1, 2016
Boulder CO
8z Real Estate
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August 1, 2014 – August 1, 2015
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National Institutes of Health: Scientific Computing & BCIG
Research Assistant
January 1, 2014 – May 1, 2014
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Ogilvy CommonHealth Worldwide
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May 1, 2010 – August 1, 2012
Parsippany, NJ
Cultural Fit Analysis
The candidate has a diverse background, moving from operations to software engineering, data engineering, and then machine learning engineering. The experience at Insight Data Science as a Data Engineering Fellow and the project on Flink Word2Vec demonstrate initiative and a focus on learning and applying new technologies. The progression through various technical roles suggests adaptability. However, the primary focus in recent years has been Machine Learning Engineering, which is adjacent but not directly aligned with a pure Big Data Engineer role. The educational background in Russian Language and Linguistics is not directly technical, but the career trajectory shows a strong pivot into technology.
Soft Skills & Operational Fit
The candidate's experience includes managing integration with remote teams and providing technical requirements, suggesting good communication and collaboration skills. The description of designing and extending Ansible infrastructure indicates an operational mindset and ability to improve developer efficiency. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.