PnC Engineer at DiDi Autonomous Driving(Voyager)
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am interested in Machine learning, Deep learning, Reinforcement learning, Computer Vision, AutoML, Robotics And Autonomous Driving.
Chinese Academy Of Sciences
master, computer software and theory
January 1, 2006 – January 1, 2009
Wuhan University of Science and Technology
Bachelor, Computer Science
January 1, 2002 – January 1, 2006
DiDi
PnC Engineer at DiDi Autonomous Driving(Voyager)
September 1, 2021 – Present
DiDi
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DiDi
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Weibo Corporation
AutoML at Weibo Corporation
January 1, 2018 – September 1, 2019
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Weibo Corporation
Senior Machine Learning Engineer
July 1, 2017 – January 1, 2018
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xiaoneida.com
CEO
February 1, 2014 – July 1, 2017
Beijing City, China
Amazon
Software Developer Engineer(Seattle)
March 1, 2013 – February 1, 2014
Amazon
Software Developer Engineer(Beijing)
March 1, 2009 – March 1, 2013
Cultural Fit Analysis
The candidate has a diverse background spanning large tech companies (Amazon, DiDi, Weibo) and entrepreneurial ventures (xiaoneida.com). This indicates adaptability and a broad perspective. The focus on machine learning, optimization, and building platforms aligns with a data-driven culture. However, the target role is 'Big Data Engineer', while the candidate's experience is heavily skewed towards Machine Learning and Algorithm Expert roles. While ML often involves big data, the core engineering aspects of big data infrastructure, ETL, data warehousing, and specific big data technologies (e.g., Hadoop, Spark, Kafka, Flink) are not explicitly detailed in the resume descriptions. This creates a potential gap in direct role alignment for a pure Big Data Engineer position.
Soft Skills & Operational Fit
The candidate's experience as a team leader and CEO suggests strong leadership, problem-solving, and entrepreneurial skills. The descriptions indicate a focus on applying advanced algorithms to solve complex business problems, which aligns with operational effectiveness. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.