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Machine Learning Leadership at Poe, Quora
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Columbia University
Master's Degree, Computer Engineering
N/A – Present
Southeast University
Electrical and Electronics Engineering
N/A – Present
The Hong Kong Polytechnic University
Internet & Multimedia Technologies
N/A – Present
Quora
Senior Engineering Manager, Poe Machine Learning
June 1, 2023 – Present
Quora
Engineering Manager, Ads Machine Learning
January 1, 2022 – Present
Tripadvisor
Senior Manager, Machine Learning and Data Science
November 1, 2021 – January 1, 2022
Tripadvisor
Principal Machine Learning Scientist
July 1, 2021 – November 1, 2021
Tripadvisor
Senior Machine Learning Engineer
March 1, 2019 – August 1, 2021
Tripadvisor
Machine Learning Engineer II
May 1, 2017 – February 1, 2019
Tripadvisor
Machine Learning Engineer
February 1, 2016 – May 1, 2017
Text Riley
Co-Founder, ML Technical
July 1, 2015 – December 1, 2015
New York
eBrevia
Software Engineer, Machine Learning
May 1, 2015 – December 1, 2015
Greater New York City Area · On-site
Columbia University in the City of New York
Research Student
January 1, 2015 – May 1, 2015
Machine Learning Lab
Nokia
Research Assistant (part-time)
January 1, 2011 – June 1, 2013
Suzhou, Jiangsu, China
Search Engine Project
January 1, 2015 – Present
-- Developed an information retrieval system based on Vector-Space model and Bing Search API using Python which can expand users' search query iteratively and improve the search precision.
Contradiction Identification for Medline
September 1, 2014 – December 1, 2014
-Proposed a method to detect the contradiction between two medical articles based on RTE systems. -Reached over 80 per cent accuracy in contradiction in negation and numeric inconsistency. -Best project proposal for the class.
2013 Interdisciplinary Contest in Modeling
February 1, 2013 – Present
-Implemented dynamic prediction models of global warming (based on neural network algorithm and social network analysis ) using Matlab,SPSS and Gephi. -The team won the Honorable Mention Award for the final paper and project.
Cultural Fit Analysis
The candidate's experience is heavily concentrated in Machine Learning, Data Science, and Engineering Management, with a strong focus on backend systems and algorithms. The target role is 'Frontend Developer'. This represents a significant mismatch in core technical domain. While the candidate has a diverse project background, none of the listed projects or professional experiences directly align with modern frontend development practices or technologies. This indicates a low cultural fit for a dedicated frontend role.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership and team management skills through their Engineering Manager and Senior Manager roles. Their involvement in co-founding a startup also suggests initiative and entrepreneurial spirit. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.