Yi-Jie Lin

Praktikum, Deep Learning Engineer Intern, AUDI AG / Audi Electronics Venture GmbH
Bis 2019, Computational Science and Engineering, Universität Rostock
Ingolstadt, Germany

Fähigkeiten und Kenntnisse

VisualSLAM
Computer Vision
Tensorflow
Machine learning
Deep learning
Python
C
C++
Linux
Signal Processing
OpenCV
Qt

Werdegang

Berufserfahrung von Yi-Jie Lin

  • Current 6 years and 11 months, since Jul 2019

    Deep Learning Engineer Intern

    AUDI AG / Audi Electronics Venture GmbH

    The main task is developing driver cognition technology of Autonomous Driving with Deep Learning application. Based on novel sensor technology we build up real-time life long system with novel feature extraction and robust neural network.

  • 1 year and 5 months, Nov 2015 - Mar 2017

    Machine Learning Researcher

    Yuanta Securities Investment Trust Co., Ltd.

    1. Built up auto trading robot on future investment for increasing retail investors' wealth, which applied Deep Learning and Reinforcement Learning to design the optimal investment algorithm. 2. Established the trend prediction of Taiwan Stock Exchange for revenue under risk control with fuzzy theory, signal processing and Machine Learning, whose accuracy rate was 86.7% in 2016.

  • 1 year, Aug 2011 - Jul 2012

    Soldier

    Aviation and Special Forces Command (ROC Army)

    Military service

Ausbildung von Yi-Jie Lin

  • 1 year and 9 months, Apr 2018 - Dec 2019

    Computational Science and Engineering

    Universität Rostock

    Master Thesis: Cooperate with Audi AG to develop driver cognition technology of Autonomous Driving with Deep Learning applications

  • 3 years and 10 months, Sep 2006 - Jun 2010

    Electrical and Computer Engineering

    National Kaohsiung Normal University

    Major: Signal processing and communication system

Sprachen

  • English

    C1 (Fließend)

  • Chinese

    C2 (Verhandlungssicher / Muttersprachlich)

  • German

    A1-A2 (Grundkenntnisse)

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