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Bing-Min Wang
Software engineer at Microsoft
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Bing-Min Wang

Software engineer at Microsoft
Currently, I work as a software engineer on the AdInsight team at Microsoft where I handle petabyte-scale data, maintain stable services, and utilize both deterministic and machine learning techniques to recommend keywords. In addition, I have experience applying machine learning in other areas, such as healthcare. I am an open-minded and fast learner, with the ability to quickly adapt to new processes, systems, and technologies. I excel in time management, multitasking, and thrive under pressure. I am passionate about tackling tough technical challenges and collaborating with team members to solve difficult problems. I take pride in bringing my ideas to life through real-world applications.
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Microsoft
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National Cheng Kung University
Taipei, 台灣

Professional Background

  • Current status
    Employed
    Not open to opportunities
  • Profession
    Data Scientist
  • Fields
    Software
  • Work experience
    4-6 years (4-6 years relevant)
  • Management
    I've had experience in managing 1-5 people
  • Skills
    Python
    AI & Machine Learning
    Big Data
    Computer Vision
    Linux
  • Highest level of education
    Master

Job search preferences

  • Desired job type
    Full-time
    Interested in working remotely
  • Desired positions
    AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
  • Desired work locations
    Taipei, Taiwan
    Singapore
    Japan
  • Freelance
    Non-freelancer

Work Experience

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Software Engineer

Sep 2021 - Present
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Senior Deep Learning Engineer

Sep 2018 - Aug 2021
3 yrs 0 mos
Training DL/ML models to solve problems or improve workflow in hospital. Bringing research results to real-world applications. 1. Use model compression and quantization to achieve real-time detection(30 FPS) on mobile devices. 2. Determine product direction and collect qualified (510k) dataset from hospital. 3. Earn cooperation opportunities with FEMH and VGHTPE.

Education

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Master’s Degree
Electrical Engineering
2016 - 2018
4.2/5 GPA