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Software 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
University of Washington
Master's degree, Computational Linguistics
January 1, 2013 – January 1, 2015
University of Washington
Bachelor of Applied Science (BASc), Computer Science
January 1, 2003 – January 1, 2007
University of Washington
Bachelor of Arts (BA), Russian Language, Literature and Culture
January 1, 2003 – January 1, 2007
Software Engineer
July 1, 2018 – Present
Amazon
Machine Learning Scientist
April 1, 2015 – June 1, 2018
Greater Seattle Area
Amazon
Research Scientist Intern
September 1, 2014 – December 1, 2014
Apple
Siri Software Engineer Intern
July 1, 2014 – September 1, 2014
University of Washington
Graduate Research Assistant
October 1, 2013 – June 1, 2014
Microsoft
Software Design Engineer
April 1, 2010 – September 1, 2013
Orange Langauge Center
ESL Instructor
June 1, 2008 – August 1, 2009
St Petersburg, St Petersburg City, Russia
MIR Corporation
Intern
January 1, 2007 – January 1, 2007
University of Washington
Computer Science Teaching Assistant
January 1, 2005 – July 1, 2007
MIM: An End-to-end Question Answering System
April 1, 2014 – Present
Building a system as per TREC specifications that answers questions by pointing out short passages from the AQUAINT corpus. Includes document retrieval, query processing, expansion, classification, and web boosting modules.
Cultural Fit Analysis
The candidate has a strong background in large, established tech companies and academic research, indicating a fit for structured, innovation-driven environments. Their experience is heavily skewed towards Machine Learning, NLP, and backend systems, with significant C++ experience. However, the target role is 'iOS Developer', which represents a significant pivot from their primary experience. While they have worked at Apple, their role was 'Siri Software Engineer Intern' focusing on Hadoop and ML, not explicitly iOS development. This lack of direct iOS development experience suggests a potential mismatch for a dedicated iOS role, requiring a significant upskilling effort in mobile-specific technologies and paradigms.
Soft Skills & Operational Fit
The candidate's experience at Amazon as a Machine Learning Scientist, including designing and mentoring an internship project, suggests strong leadership and collaboration skills. Their role as a Teaching Assistant also indicates communication and mentorship abilities. The patent and publication demonstrate initiative and problem-solving. However, specific details on stress handling or team collaboration from the psychometric test are not available.