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Applied Scientist at Amazon Lab126
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Assessing your cultural and operational fit
Wei Lee is a Machine Learning Engineer at Trove AI, usually busy thinking about improving how people could connect while preserving users' privacy. He is interested in machine learning (particularly natural language processing) and data mining. Prior to joining Trove, he worked with Prof. Danai Koutra on graph mining, and has published research in graph alignment.
University of Michigan
Master's degree, Computer Science
January 1, 2015 – January 1, 2017
Amazon Lab126
Applied Scientist
July 1, 2019 – Present
Sunnyvale, California
Trove AI
Machine Learning Engineer
July 1, 2017 – May 1, 2019
Ann Arbor, Michigan
University of Michigan
Graduate Student Instructor
January 1, 2017 – May 1, 2017
Ann Arbor, Michigan
Expedia, Inc.
Software Engineer Internship
June 1, 2016 – September 1, 2016
Bellevue, WA
Cultural Fit Analysis
The candidate has experience in both a large tech company (Amazon Lab126, Expedia) and a startup (Trove AI), indicating adaptability to different work environments. The project diversity at Trove AI shows initiative and a broad interest in ML applications. However, without specific project details for Amazon Lab126, it's difficult to fully assess the breadth of recent experience and cultural alignment beyond the stated role.
Soft Skills & Operational Fit
The candidate's experience as a Graduate Student Instructor suggests some communication and leadership skills. The description of 'strategically persuaded students cheating in midterm to confess' indicates problem-solving and interpersonal skills. However, specific operational fit and soft skills are not extensively detailed in the provided data.