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Kaohsiung City, Taiwan
Avatar of 莊偉程.
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Equipment Engineer leader @日月光半導體製造股份有限公司
2018 ~ Presente
Technical PM
En un mes
resulting in an 86.95% reduction in wafer scrap rate. (Preventive Mechanism) Detection Mechanism for Tilted Plate on Coating Hot Plate. Early Warning System to Prevent Wafer Fragmentation: Sensors are installed at three specific locations on the hot plate to detect fragments. If the Robot Paddle fails to place the wafer precisely on these points, triggering an alarm mechanism, the machine halts operation immediately and automatically dispatches for maintenance, reducing the probability of wafer fragmentation in the hot plate by 80%. (Cost Control) Photoresist Flow Reduction Improvement. To save on photoresist costs, the spraying
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De 4 a 6 años
National Cheng Kung University
工程科學系

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Technical Skills
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Freelance Writer on Medium
Academia Sinica
2020 ~ Presente
Taipei, 台灣
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Data Engineer
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Image processing, machine learning, parallel computing, software engineer
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A tiempo completo
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Taipei, 台灣, Japan, United States, Canada, Australia, Taiwan, China, Singapore, Hong Kong, Taichung, 台灣, Tainan City, 台灣, Kaohsiung City, 台灣, Hsinchu City, 台灣, Hsinchu County, 台灣
A distancia
Interesado en trabajar a distancia
Freelance
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Escuela
National Central University
Mayor
Master of Science Computer Science and Information Engineering
Imprimir
E68rgll9rhdiy7unwrog

Lu-Hsuan Chen

Taoyuan, TW 32001

 [email protected] 

 0910194893

 https://cuda-chen.github.io/

 https://medium.com/@clh0524

Overview


  • Full of enthusiasm and solid experience in image processing and machine learning over 3 years, parallel computing over 1 year.
  • C/C++ over 5 years.
  • Python over 4 years.

Skills


  • Proficient programming language: C, C++, Python, Julia, SQL
  • Machine learning framework: Keras
  • Image processing library: OpenCV, scikit-image
  • Web backend framework: Django
  • Web frontend framework: Vue
  • CI/CD: GitHub Actions
  • Monitoring: Prometheus, Grafana
  • DevOps: Docker

Work Experience

Cloud Engineer in Test, Sep 2020 ~ Present
Trend Micro Inc.

Research Assistance, Feb 2020 ~ Aug 2021
Academica Sinica
  • QSIS-Data-Acquisition-System
    socket.io, Obspy, RasberryPI, qemu-user-static
    ◼ Create low-cost seismometer only costs 5,000 NTD.
    ◼ Reduce firmware update time from ten to three minutes. 
  • Seismic-wave analysis program (min-max, FFT, gap, overlap) 
◼ Self-created tool for seismic data quality control.
◼ Use libmseed to manipulate miniSEED 3.x format data.
◼ Outperform SAC when encountering data with gaps.
◼ Django, GraphQL, Vue, MySQL, Dramatiq, RabbitMQ, GitHub Action, Prometheus, Grafana
◼ Reduce data query time by 75%.
◼ Solve zombie process problem when running C shell in Docker.

Projects


SLIC.jl

  • Implement SLIC algorithm (with enforcing connectivity) in Julia.

vface-server-cpp

  • Low cost VTuber-project.
  • Detect face key points using C++, OpenCV, and Dlib in 10 ms.
  • Send information to web client via Websocket.

Education

National Central University, Sep 2017 ~ Jun 2019

  • Master of Computer Science and Information Engineering
  • Overall GPA: 3.34/4.0
  • Diploma thesis: Fish Image Segmentation and Classification System Design Based on Deep Learning 
    • Create a segmentation and classification system with Mask R-CNN and ResNet-50 classifier for recognizing 41 kinds of fish with 85% of Top-1 classification accuracy of species recognition.
    • Create a fish image dataset containing at least 800 images with labeling

National Central University, Sep 2013 ~ Jun 2017

  • Bachelor of Computer Science and Information Engineering
  • Overall GPA: 3.35/4.0 

Award

Outstanding Graduate Teaching Award

  • 3rd place of excellent achievement in teaching assistance

Certificate

Fundamentals of Accelerated Computing with CUDA C/C++

Academic

Course TA

  • Robot Design
  • Embedded System Design
  • Experiment of Digital Design

Extracurricular Activities

Member, Sep 2014  ~ Jul 2016

Networking and Open Source Community Club

  • Full attendance for every event and always try my best to learn some new technique such as Git, Linux, Python, Ruby, etc.

Freelance Writer, Dec 2019  ~ Present

Analytics Vidhya, Medium

  • Featured writer about Machine Learning and Image Processing.

Resume
Perfil
E68rgll9rhdiy7unwrog

Lu-Hsuan Chen

Taoyuan, TW 32001

 [email protected] 

 0910194893

 https://cuda-chen.github.io/

 https://medium.com/@clh0524

Overview


  • Full of enthusiasm and solid experience in image processing and machine learning over 3 years, parallel computing over 1 year.
  • C/C++ over 5 years.
  • Python over 4 years.

Skills


  • Proficient programming language: C, C++, Python, Julia, SQL
  • Machine learning framework: Keras
  • Image processing library: OpenCV, scikit-image
  • Web backend framework: Django
  • Web frontend framework: Vue
  • CI/CD: GitHub Actions
  • Monitoring: Prometheus, Grafana
  • DevOps: Docker

Work Experience

Cloud Engineer in Test, Sep 2020 ~ Present
Trend Micro Inc.

Research Assistance, Feb 2020 ~ Aug 2021
Academica Sinica
  • QSIS-Data-Acquisition-System
    socket.io, Obspy, RasberryPI, qemu-user-static
    ◼ Create low-cost seismometer only costs 5,000 NTD.
    ◼ Reduce firmware update time from ten to three minutes. 
  • Seismic-wave analysis program (min-max, FFT, gap, overlap) 
◼ Self-created tool for seismic data quality control.
◼ Use libmseed to manipulate miniSEED 3.x format data.
◼ Outperform SAC when encountering data with gaps.
◼ Django, GraphQL, Vue, MySQL, Dramatiq, RabbitMQ, GitHub Action, Prometheus, Grafana
◼ Reduce data query time by 75%.
◼ Solve zombie process problem when running C shell in Docker.

Projects


SLIC.jl

  • Implement SLIC algorithm (with enforcing connectivity) in Julia.

vface-server-cpp

  • Low cost VTuber-project.
  • Detect face key points using C++, OpenCV, and Dlib in 10 ms.
  • Send information to web client via Websocket.

Education

National Central University, Sep 2017 ~ Jun 2019

  • Master of Computer Science and Information Engineering
  • Overall GPA: 3.34/4.0
  • Diploma thesis: Fish Image Segmentation and Classification System Design Based on Deep Learning 
    • Create a segmentation and classification system with Mask R-CNN and ResNet-50 classifier for recognizing 41 kinds of fish with 85% of Top-1 classification accuracy of species recognition.
    • Create a fish image dataset containing at least 800 images with labeling

National Central University, Sep 2013 ~ Jun 2017

  • Bachelor of Computer Science and Information Engineering
  • Overall GPA: 3.35/4.0 

Award

Outstanding Graduate Teaching Award

  • 3rd place of excellent achievement in teaching assistance

Certificate

Fundamentals of Accelerated Computing with CUDA C/C++

Academic

Course TA

  • Robot Design
  • Embedded System Design
  • Experiment of Digital Design

Extracurricular Activities

Member, Sep 2014  ~ Jul 2016

Networking and Open Source Community Club

  • Full attendance for every event and always try my best to learn some new technique such as Git, Linux, Python, Ruby, etc.

Freelance Writer, Dec 2019  ~ Present

Analytics Vidhya, Medium

  • Featured writer about Machine Learning and Image Processing.