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蚂蚁金服 - Algorithm 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
Zhejiang University
Master of Science, Design (College of Computer Science)
January 1, 2015 – January 1, 2018
Zhejiang University of Technology
Bachelor of Science, Computer Science
January 1, 2011 – January 1, 2015
蚂蚁金服
Algorithm Engineer
April 1, 2018 – Present
Hangzhou
Netease Games
AI Research Intern
May 1, 2017 – August 1, 2017
Hangzhou
阿里巴巴
Algorithm Engineer Intern
November 1, 2016 – April 1, 2017
Hangzhou
网易
Data Mining Engineer Intern
December 1, 2014 – April 1, 2015
Hangzhou, Zhejiang, China
Composing the Mood Music of Heart with CNN-LSTM Neural Network
April 1, 2016 – Present
Music composition is a way for composer to express emotion. It's our aim to assist those who have hardly mastered the fundamental music theory in composing their own music. We build a deep neural network to reveal the quantitative relation between emotion and music. In this deep model, LSTM is used in time information mining and CNN is used for polydimensional representation.
Cultural Fit Analysis
The candidate has experience in large Chinese tech companies (蚂蚁金服, 阿里巴巴, Netease Games, 网易), indicating familiarity with corporate environments. The project diversity is somewhat limited to music generation and general ML, but the roles show exposure to different applications of AI/ML. The breadth of skills mentioned (Deep Learning, NLP, Tensorflow, Docker, ETL, Data Mining, Big data, Xpath, Hive, Hadoop, Python, SVN/Git) suggests adaptability.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The provided data focuses on technical experience and education.