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王鈺豪
Firmware Engineer
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王鈺豪

Firmware Engineer
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群聯電子 PHISON Electronics
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National Chiao Tung University
Hsinchu, 新竹市台灣

Professional Background

  • Current status
    Employed
  • Profession
    Back-end Engineer
    Embedded Developer
    C,C++ Developer
  • Fields
    Hardware
    Consumer Electronics
  • Work experience
    2-4 years (1-2 years relevant)
  • Management
    I've had experience in managing 1-5 people
  • Skills
    c++ programming
    OpenCV
    Cypress.IO
    JavaScript
    YOLO
    python programming
    Computer Vision
  • Languages
    English
    Fluent
    Chinese
    Native or Bilingual
  • Highest level of education
    Master

Job search preferences

  • Desired job type
    Full-time
    Not interested in working remotely
  • Desired positions
    Firmware Engineer, Firmware Developer, Embedded Software Engineer
  • Desired work locations
    Hsinchu, Hsinchu City, Taiwan
  • Freelance
    Non-freelancer

Work Experience

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Firmware Engineer

Nov 2022 - Present
Responsible for firmware program architecture design and maintenance of eMMC controllers, specializing in data recovery techniques.
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Software Engineer Intern

Jul 2020 - Sep 2022
2 yrs 3 mos
Hsinchu, Hsinchu City, Taiwan
Working as an Engineering intern for computer vision related applications developing ● Using Deepstream SDK to do electronic fence over 4 cameras on nVIDIA Jetson Nano platform ● Constructing the face recognition and body temperature measurement system on Raspberry pi 4, and linking the system to the attendance system of Z-COM, Inc.
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Engineering Intern

Sep 2019 - May 2020
9 mos
Work as an Engineering intern in QA team, construct first automation tool for web regression test. ● Using Cypress.io framework to do automation regression test ● Using mochawesome framework to export test report ● Link Slack and Testrail to send report via APIs ● Construct script for QA manager to update/add case to Testrail

Education

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Master’s Degree
Computer Science and Information Engineering, Institute of Multimedia Engineering
2020 - 2022
Description
• Developing mammography image recognition system based on convolutional neural network with E-Da Hospital.
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Bachelor’s Degree
Computer Science and Information Engineering
2016 - 2020
Description
• The under-graduate student of IMS lab In this period, we try to utilize the deep learning technology and computer vision to detect dementia in easier way. Thus, we create a assessment system that using clock drawing to determine wheather if the user have dementia in only one minutes.