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Master at Tsinghua University.
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Assessing your cultural and operational fit
Convolutional-Block-Attention-Module
July 29, 2018 – September 6, 2018
Unofficial implementation of Convolutional Block Attention Module (CBAM)
View Projectkaggle_iMaterialist-Challenge-Furniture-at-FGVC5
May 9, 2018 – June 23, 2018
kaggle_iMaterialist-Challenge-Furniture-at-FGVC5 — GitHub repository
View ProjectResNext_pytorch_PretrainedModel
April 16, 2018 – April 23, 2018
ResNext_pytorch_PretrainedModel — GitHub repository
View Projectkaggle_Camera_Model_Identification
December 29, 2017 – February 10, 2018
kaggle_Camera_Model_Identification — GitHub repository
View Projectkaggle-Cdiscounts-Image-Classification-Challenge
November 7, 2017 – December 17, 2017
kaggle-Cdiscounts-Image-Classification-Challenge — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and focused on competitive machine learning challenges and research implementations. While this demonstrates initiative and technical curiosity, there is no information regarding team collaboration, open-source contributions, or diverse project types that would indicate broader cultural fit within a typical engineering team. The projects align with a data science or machine learning role more directly than a general 'Software Engineer' role, suggesting a potential mismatch in the target role's broader expectations.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication in a team setting.