Jui-Lin Liang

Angestellt, Software Engineer - Automated Driving, Daimler AG / Mercedes-Benz AG

Taipei, Taiwan, Deutschland

Über mich

Experienced Engineer with a demonstrated history of working in the automotive industry. Strong skills related robotics and autonomous driving: Sensor Fusion, Object Tracking, SLAM/Localization, Computer Vision, Machine/Deep Learning.

Fähigkeiten und Kenntnisse

Python
MatLab
Simulink
C++
Git
GitHub
GitLab
Linux
ROS
Tensorflow
Sensor Data Fusion
Localization/SLAM
Machine/Deep Learning
Computer Vision
Mobile Robot

Werdegang

Berufserfahrung von Jui-Lin Liang

  • Bis heute 2 Jahre und 10 Monate, seit Sep. 2021

    Software Engineer - Automated Driving

    Daimler AG / Mercedes-Benz AG

  • 8 Monate, Dez. 2019 - Juli 2020

    Research Assistant

    Faculty of Informatics, TU Dortmund

    + Developed optimization and schedulability analysis software using Python and OR-Tools. + Verified performance of deep networks distributed on multiple CPU/GPUs using TensorFlow.

  • 3 Jahre und 8 Monate, Nov. 2013 - Juni 2017

    Engineer of ADAS Systems

    Hua-Chuang Automobile Information Technical Center Co., Ltd.

    + Coordinate a 2-year ADAS development project, collaborating with companies from 4 other countries; built a product-oriented sensor fusion software module running on automotive camera and radar sensors, on top of which the AEB function reaches highest EuroNCAP scores. + Researched and developed ADAS-related sensor technologies; created the first IPDA-based sensor fusion prototype in company within SIMULINK from scratch.

  • 3 Jahre und 8 Monate, Nov. 2013 - Juni 2017

    ADAS Engineer

    HAITEC Automobile Information Technical Center

Ausbildung von Jui-Lin Liang

  • 2 Jahre und 7 Monate, Okt. 2018 - Apr. 2021

    Automation and Robotics

    TU Dortmunc

  • 2 Jahre und 7 Monate, Okt. 2018 - Apr. 2021

    Automation and Robotics

    TU Dortmund

    + Selected courses: Mobile Robot, Computer Vision, 3D Computer Vision, Computational Intelligence, Artificial Neural Networks, Computer Vision - Deep Learning. + Master’s Thesis Developed simulation and data collection framework using CARLA. Achieved robust lane-level localization for autonomous driving using semantic landmarks in HD-maps and graph-based optimization. + Computer Vision Project Implemented siamese neural networks utilizing triplet loss and center loss in TensorFlow.

  • 1 Jahr und 10 Monate, Sep. 2011 - Juni 2013

    Engineering Science and Ocean Engineering

    National Taiwan University

    Specialized in Automatic Control Systems.

  • 3 Jahre und 10 Monate, Sep. 2007 - Juni 2011

    Engineering Science and Ocean Engineering

    National Taiwan University

Sprachen

  • Chinesisch

    Muttersprache

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

Interessen

Swing
Sketch
Dance

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