黃泰銘 Tai-Ming Huang

Deep Learning SWE Intern @ Intel Corporation

Studying for a Master's Degree in Computer Science at National Taiwan University of Science and Technology (NTUST). Committed to the field of computer vision (CV).

  Taipei, Taiwan        

Education


National Taiwan University of Science and Technology  •  Taiwan

Feb 2021 - Present

  • M.S., Department of Computer Science and Information Engineering.
  • Advised by Prof. Kai-Lung Hua.

Wrocław University of Science and Technology  •  Poland

Jul 2019 - Aug 2019

  • 3E+ Summer School 2019 program(Data Science and Machine Learning ).

National Taiwan University of Science and Technology  •  Taiwan

Sep 2017 - Jan 2021

  • B.S., Department of Computer Science and Information Engineering. 

Skills

Programming


  • C / C++
  • C#
  • Python
  • Machine Learning/Deep Learning

Tools


  • Docker
  • Git
  • PyTorch
  • Open CV/Emgu CV

Web


  • HTML5 / CSS /JavaScript
  • React Js
  • Python Flask
  • PHP Laravel

Game Engine


  • Unity
  • Unreal

Other


  • IOS (Swift)
  • Android (Kotlin)
  • Ubuntu Command Line Interface

Language


  • Mandarin: Native
  • English : Limited working proficiency 

Experience


Deep Learning Software Engineer Intern • Intel Corporation 

Jul 2021 - Present

  • IoTG Customer Engineering Team.
  • Optimize deep learning models and deploy models to Intel OpenVINO platform.

 

2021 E.Sun Bank AI Competition • E.Sun Bank Inc.

Jue 2021

  • 6th / 468 in 2021 E.Sun Bank AI Competition.
  • Develop deep learning classification models to recognize Mandarin handwritten words(OCR). 


AI  Energy, Power Source Prediction and Charging Pile Scheduling • Delta Electronics Inc.

May 2021 - Present

  • Survey and develop deep learning approaches that helping Delta Electronics solve the problems.

2021 TSMC x Microsoft CareerHack Mixed Reality  •  TSMC x Microsoft

Jan 2021

  • 2nd place in TSMC x Microsoft 2021 Careerhack Mixed Reality Team.
  • Developed some Mixed Reality solutions for Restaurants (TSMC FAB) in C# (Unity 3D).


AI Automated Monitoring Platform System Development  •  IGS Inc.

Sep 2020 - Present

  • Obtain the features of multi-dimensional time-series data by deep learning, and detect anomalies.
  • Real-time data analysis by Kibana and Grafana visualization platforms and using machine learning to do anomaly detection.

2020 VGW   •  Vision Get Wild Award

May 2020

  • 2nd place in Vision Get Wild Award Software Content Team.
  • Integrated Azure Services (Voice to Text, Sentiment Analysis) and LineBot into Arduino hardware.

Computer Vision Algorithm development  •  SSI Inc.

Mar 2020 - Present

  • Develop algorithms in C# (Engu CV), conduct research on Computer Vision solutions for products of SSI company.


CEO / President  •  Student Association of CSIE Department

Jun 2018 - Jun 2019

  • Lead a team of Student Association of CSIE Department at NTUST.

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