Austin Yu-Hung Chen

Data Scientist / MLOps at Sentons
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Contact Information
us****@****om
(386) 825-5501
Location
New Taipei City, New Taipei City, Taiwan, TW
Languages
  • English Professional working proficiency
  • Chinese Native or bilingual proficiency

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Josie Chung

Austin was one of the top developers I have ever worked with - amazing communication skills, fruitful knowledge for embedded system and awesome team spirits. He is such a great problem solver and his dedication to analytics and deep learning is the key success factor for analytics team.

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Credentials

  • Convolutional Neural Networks
    Coursera
    Mar, 2019
    - Sep, 2024
  • Deep Learning Specialization
    Coursera
    Mar, 2019
    - Sep, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Mar, 2019
    - Sep, 2024
  • Neural Networks and Deep Learning
    Coursera
    Mar, 2019
    - Sep, 2024
  • Structuring Machine Learning Projects
    Coursera
    Mar, 2019
    - Sep, 2024
  • AWS Certified Solutions Architect – Associate
    Amazon Web Services (AWS)
    Jun, 2020
    - Sep, 2024

Experience

  • Sentons
    • United States
    • Semiconductors
    • 1 - 100 Employee
    • Data Scientist / MLOps
      • Feb 2021 - Present
  • Exosite
    • United States
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Senior Data Analyst & Application Engineer
      • Mar 2019 - Sep 2020
    • Staff Software Engineer
      • Oct 2017 - Mar 2019
  • HTC
    • Vietnam
    • Legal Services
    • Senior Software Engineer
      • Feb 2014 - Sep 2017

      Throughout my HTC career, I have taken on diverse challenges and proven my ability to deliver new technology for real life application. Currently, my concentration is focused on existing Optical Sensors and other emerging input and sensor systems. [Proximity/Light sensor] • Coordinated between hardware team and manufacturer team for all smart-phone products • Established requirement specification to evaluate new solutions • Learned from user feedback and defined hardware design specification to improve performance • Architected and integrated optical sensors in sensor hub (embedded hardware) solutions [Laser TOF] • Architected and engineered Laser TOF technology to improve camera AF on Google Pixel • Studied and implemented smudge-detection algorithm by using machine learning mechanisms [Edge sensor] • Architected and delivered from conceptual stages to mass production on aggressive timelines √ Spearheaded the system integration and drove the engineering design to meet usability needs √ Optimized for improved performance/responsiveness and reduced power consumption √ Learned from user feedback and implemented mis-trigger protections at different scenarios Show less

  • National Sun Yat-Sen University
    • Taiwan
    • Higher Education
    • 400 - 500 Employee
    • Undergraduate Research Assistant
      • 2008 - Jul 2009

      • Analyzed and improved performance of H.264/AVC Scalable Video Coding. • Reduced more than 75% Motion Estimation time with ignorable PSNR degradation and bitrate increase. • Analyzed and improved performance of H.264/AVC Scalable Video Coding. • Reduced more than 75% Motion Estimation time with ignorable PSNR degradation and bitrate increase.

Education

  • NYU Tandon School of Engineering
    Master of Science (MS), Electrical and Electronics Engineering
    2011 - 2013
  • National Sun Yat-Sen University
    Bachelor of Science (BS), Electrical and Electronics Engineering
    2005 - 2009

Community

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