Zhiwei Liu

Software Engineer at TuSimple
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Contact Information
us****@****om
(386) 825-5501
Location
Beijing, China, CN
Languages
  • Chinese Native or bilingual proficiency
  • English Professional working proficiency
  • German Elementary proficiency
Skills

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Credentials

  • Deep Learning Specialization
    Coursera Course Certificates
    May, 2018
    - Nov, 2024
  • Sequence Models
    Coursera
    May, 2018
    - Nov, 2024
  • Convolutional Neural Networks
    Coursera Course Certificates
    Apr, 2018
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera Course Certificates
    Aug, 2017
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera Course Certificates
    Aug, 2017
    - Nov, 2024
  • Structuring Machine Learning Projects
    Coursera Course Certificates
    Aug, 2017
    - Nov, 2024
  • Programming Languages, Part A
    Coursera Course Certificates
    Nov, 2016
    - Nov, 2024

Experience

  • TuSimple
    • United States
    • Software Development
    • 400 - 500 Employee
    • Software Engineer
      • Mar 2020 - Present

      自动驾驶仿真系统研发。 自动驾驶仿真系统研发。

  • DAI-Labor der TU Berlin
    • Germany
    • Research Services
    • 1 - 100 Employee
    • Research Assistant
      • Apr 2018 - Jan 2020

      - Implement (traditional & state-of-the-art) machine learning algorithms using CUDA- Research on stochastic non-convex optimization problems- Design new online optimization algorithms- Implement Computation Graph- Extend MXNet- Benchmark learning algorithms with Tensorflow & Spark - Implement (traditional & state-of-the-art) machine learning algorithms using CUDA- Research on stochastic non-convex optimization problems- Design new online optimization algorithms- Implement Computation Graph- Extend MXNet- Benchmark learning algorithms with Tensorflow & Spark

  • Fraunhofer FOKUS
    • Research
    • 200 - 300 Employee
    • Research Assistant
      • Feb 2017 - Feb 2018

      • I worked at Next Generation Network (NGN) department and participated in the development of 5G core network. The project is mainly written in C together with C++, XML as well as JSON and deployed on Linux. Google’s automated test framework is introduced and used.• I was responsible for the benchmarking tool module, whose main functionalities are to benchmark the 5G core network and simplify deployment and testing procedure• Integrated all related components into benchmarking tool module. As a result, instead of deploying each component on its exclusive machine for demonstration or testing, all 5G network procedures could be easily simulated and tracked inside benchmarking tool and one machine is enough.• Implemented key metrics tracking and session management.• Designed and implemented automatic scenario generation algorithm such that batch of complex test cases could be generated in an easier way.

Education

  • Technische Universität Berlin
    Master of Science (M.Sc.), Computer Science
    2016 - 2019
  • Xidian University
    Bachelor of Science (B.S.), Computer Software Engineering
    2012 - 2016

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